СПОСОБ ПОЛУЧЕНИЯ НИЗКОРАЗМЕРНЫХ ЧИСЛОВЫХ ПРЕДСТАВЛЕНИЙ ПОСЛЕДОВАТЕЛЬНОСТЕЙ СОБЫТИЙ

Изобретение относится к области информационных технологий, в частности к способу получения низкоразмерных числовых представлений последовательностей событий. Техническим результатом является повышение эффективности формирования признаков для моделей машинного обучения с помощью формирования низкоразмерных числовых представлений последовательностей событий. Предлагается компьютерно-реализуемый способ получения низкоразмерных числовых представлений последовательностей событий, содержащий этапы, на которых: получают набор входных данных, характеризующий события, агрегированные в последовательность и связанные с по меньшей мере одной информационной сущностью, при этом выполняется предобработка упомянутого набора входных данных, при которой: формируют позитивные и негативные пары последовательностей транзакционных событий, с помощью кодировщика транзакционных событий формируют векторное представление каждого транзакционного события из упомянутого набора атрибутов, осуществляют нормирование числовых ...

Аквариумы с рыбками-роботами с источниками энергии за счет металлических пластин

Аквариум с роботизированными обитателями относится к развлекательным аттракционам, устанавливаемым в культурных, развлекательных, оздоровительных и торговых центрах. Технический результат достигается тем, что аквариум содержит прозрачный корпус, внутри которого размещаются водоросли и рыбки-роботы с аккумулятором, блоком управления и механизмами робота; а также непрозрачную крышку с источниками света, при этом аккумулятор подключается к блоку управления роботом, выходы блока управления роботом подключаются к механизмам робота, согласно изобретению, в прозрачный корпус заливается соляной раствор воды, а на нижней поверхности рыбок-роботов устанавливается источник электрической энергии, состоящий из двух металлических пластин в форме плавников, одна из которых медная, а вторая никелевая, а также преобразователя напряжения LTC3105 и ключей, при этом пластины подключаются на вход преобразователя напряжения LTC 3105, выход преобразователя напряжения LTC 3105 через ключи подключается к аккумулятору ...

СПОСОБ ОТЛАДКИ ОБУЧЕННОЙ РЕКУРРЕНТНОЙ НЕЙРОННОЙ СЕТИ

Изобретение относится к области обработки данных и может быть использовано для работы с обученными нейронными сетями (НС) и их отладки. Техническим результатом является обеспечение возможности оценить влияние входных возмущений на результат вычисления агрегирующей функции от скрытых состояний РНС, за счет минимизации меры расхождения при поиске релевантных подпоследовательностей токенов. Способ выполняется с помощью по меньшей мере одного процессора, причем РНС обучена на наборе данных, состоящем из последовательностей токенов, которые являются векторными представлениями элементов упомянутого набора данных, и способ содержит этапы, на которых: a) получают значение агрегирующей функции скрытых состояний РНС для упомянутой последовательности токенов; b) осуществляют поиск внутри упомянутой последовательности токенов по меньшей мере одной подпоследовательности токенов и определяют для каждой упомянутой подпоследовательности агрегирующую функцию скрытых состояний РНС; c) получают интерпретацию ...

Verfahren und Vorrichtung zum Fusionieren einer Mehrzahl von Signalen einer Ultraschallsensorik eines Fortbewegungsmittels

Die Erfindung betrifft ein Verfahren zum Fusionieren einer Mehrzahl von Signalen einer Ultraschallsensorik (30, 35) eines Fortbewegungsmittels (80) zur Bestimmung eines Nässewertes einer Fahrbahn umfassend die Schritte:• Bestimmen mindestens eines Referenzwertes basierend auf mindestens einem Ultraschallsignal, das von einem kalibrierten Ultraschallsensor in einem kalibrierten Frequenzbereich empfangen wurde;• Empfangen von Ultraschallsignalen eines oder mehrerer Sensoren der Ultraschallsensorik in einem oder mehreren Frequenzbereichen;• Bestimmen von unkorrigierten Nässewerten (µraw) aus jedem der Ultraschallsignale;• Vergleichen jedes unkorrigierten Nässewertes mit dem Referenzwert (µref) und basierend auf dem Vergleich jeweils ein Bestimmen eines korrigierten Nässewertes (µcor);• Fusionieren der korrigierten Nässewerte (µcor); zu mindestens einem Gesamtnässewert.

Biometric security systems

PRODUCT SUM OPERATION CIRCUIT AND PROCEDURE

A ON OF ARTIFICIAL INTELLIGENCE BASED CONTROL SYSTEM AND PROCEDURE FOR THE SEWAGE CONDITIONING OF MEANS NEURAL NET AND A BAKE PROPAGATION ALGORITHM

IOT BASED GENERIC FRAMEWORK FOR COMPUTER SECURITY USING ARTIFICIAL IMMUNE SYSTEM

IOT BASED GENERIC FRAMEWORK FOR COMPUTER SECURITY USING ARTIFICIAL IMMUNE SYSTEM The present invention relates to a generic framework for computer security using artificial immune system. System is presented as an example of a system developed around the current understanding of the immune system. This system explains capability of an Artificial Immune Systems to capture the basic elements of the immune system and demonstrates the some of its main properties. As natural immune system have features like diversity, distributed computation, error tolerance, dynamic learning and adaptation and self-monitoring these are integrated in the invented generalized framework for Artificial Immune Systems which is utilized for the computer security. The natural human immune system has encouraged scientists, engineers and researchers for discovering powerful information processing algorithms to solve multifarious engineering tasks. The Artificial Immune Systems can be applied to many domains like classification ...

DASATINIB RESPONSE PREDICTION MODELS AND METHODS THEREFOR

Contemplated systems and methods employ a priori known cell line genomics and drug response data to build a library of response predictors across multiple and distinct cell types and drugs. Statistical analysis of selected response predictors is then employed to identify a drug with a response predictor that has significant gain in prediction power relative to other drugs. Entity coefficients of the so identified response predictor are then applied to the output of a pathway model that was based on an actual patient's omic signature.

Method and device for vehicle dynamic simulation

METHOD FOR TRACKING ELEMENTS OF INTEREST VISIBLE IN VIDEO

HUMAN TRANSPARENCY PARADIGM

A computer implemented method, apparatus, and computer usable program code for source code located on a storage system in a network data processing system. The source code is written in a language for predicting human behavior. An interpreter, executing in the network data processing system, executes a simulation using the source code. A synthetic human is defined in the source code and generates user input during the simulation. The user input modifies the source code. A graphical user interface processor receives interpreted source code from the interpreter and generates device dependent output using the interpreted source code. The interpreter receives live user input through a device to replace the user input generated by the synthetic human. The interpreter ceases using input generated by the synthetic human in response to receiving the live user input, and the interpreter includes live user input with the interpreted source code.Fig. 2 ...

GATING MODEL FOR VIDEO ANALYSIS

Implementations described herein relate to methods, devices, and computer-readable media to perform gating for video analysis. In some implementations, a computer-implemented method includes obtaining a video comprising a plurality of frames and corresponding audio. The method further includes performing sampling to select a subset of the plurality of frames based on a target frame rate and extracting a respective audio spectrogram for each frame in the subset of the plurality of frames. The method further includes reducing resolution of the subset of the plurality of frames. The method further includes applying a machine-learning based gating model to the subset of the plurality of frames and corresponding audio spectrograms and obtaining, as output of the gating model, an indication of whether to analyze the video to add one or more video annotations.

Apparatus and methods for training path navigation by robots

An apparatus and methods for training and/or operating a robotic device to follow a trajectory. A robotic vehicle may utilize a camera and stores the sequence of images of a visual scene seen when following a trajectory during training in an ordered buffer. Motor commands associated with a given image may be stored. During autonomous operation, an acquired image may be compared with one or more images from the training buffer in order to determine the most likely match. An evaluation may be performed in order to determine if the image may correspond to a shifted (e.g., left/right) version of a stored image as previously observed. If the new image is shifted left, right turn command may be issued. If the new image is shifted right then left turn command may be issued.

ANOMALY DETECTION

Disclosed is a computing platform including a memory assembly having encoded thereon executable control-logic instructions configured to be executable by the computing platform, and also configured to urge the computing platform to carry out a method comprising receiving data; and detecting at least one anomaly contained in the data that was received.

METHOD OF THREAT DETECTION IN A THREAT DETECTION NETWORK AND THREAT DETECTION NETWORK

A network node (5a-5h) of a threat detection network, a backend server (2) of a threat detection network, a threat detection network and a threat detection method in a threat detection network. The threat detection network comprises interconnected network nodes (5a-5h) and a backend system (2), wherein at least part of the nodes (5a-5h) comprise security agent modules (6a-6h) which collect data related to the respective network node (5a-5h). The method comprises collecting and/or analyzing at the network node (5a-5h) data related to a network node (5a-5h), generating at least one local behavior model at the network node (5a-5h) related to the network node (5a-5h) on the basis of the collected and/or analyzed data, sharing at least one generated local behavior model related to the network node (5a-5h) with one or more other nodes (5a-5h) and/or with the backend system (2), comparing user activity in a node (5a-5h) to the generated local behavior model and/or a received behavior model, and ...

СПОСОБ И УСТРОЙСТВО ПРОГНОЗИРОВАНИЯ РАЗРУШЕНИЯ

Изобретение относится к способу и устройству прогнозирования разрушения. Сущность: осуществляют этапы, на которых получают эффективную ширину в направлении, включающем в себя точечносварной участок и пересекающем направление нагрузки на плоской поверхности, на которой предоставляется точечносварной участок элемента, вычисляют каждый предварительно определенный временной интервал, эффективную ширину, изменяющуюся в соответствии с изменением нагрузки, и прогнозируют разрушение точечносварного участка с использованием вычисленной эффективной ширины. Устройство содержит модуль вычисления, который вычисляет каждый предварительно определенный временной интервал, эффективную ширину в направлении, включающем в себя точечносварной участок и пересекающем направление нагрузки на плоской поверхности, на которой предусмотрен точечносварной участок элемента, и изменяющемся в соответствии с изменением нагрузки, и модуль прогнозирования, который прогнозирует разрушение точечносварного участка с использованием ...

ЦЕНТРАЛЬНЫЙ ГЕНЕРАТОР РИТМОВ ДЛЯ ГЕНЕРАЦИИ СИГНАЛОВ УПРАВЛЕНИЯ ПОХОДКОЙ ШАГАЮЩЕГО РОБОТА

Изобретение относится к колебательным системам и может использоваться в робототехнике для генерации сигналов, задающих походку шагающего робота, а также для управления режимами походки. Центральный генератор ритмов для генерации сигналов управления походкой шагающего робота состоит из одного активного осциллятора с нелинейным затуханием и по меньшей мере одного линейного диссипативного колебательного контура, включенных в цепь активного осциллятора параллельно через конденсатор. Технический результат заключается в упрощении конструкции и расширении возможностей генератора ритмов. 3 з.п. ф-лы, 7 ил.

Центральный генератор ритмов для генерации сигналов управления походкой шагающего робота

Полезная модель относится к колебательным системам и может использоваться в робототехнике для генерации сигналов, задающих походку шагающего робота, а также для управления режимами походки. Центральный генератор ритмов для генерации сигналов управления походкой шагающего робота состоит из одного активного осциллятора с нелинейным затуханием, генератора синусоидальных сигналов и двух линейных диссипативных колебательных контуров, включенных в цепь активного осциллятора параллельно через конденсатор. Технический результат заключается в упрощении конструкции и расширении возможностей генератора ритмов.

УНИВЕРСАЛЬНЫЙ ЦИФРОВОЙ БЛОК ОБРАБОТКИ РЕЗУЛЬТАТОВ ИЗМЕРЕНИЙ КОНЦЕНТРАЦИЙ ВРЕДНЫХ ВЕЩЕСТВ В АТМОСФЕРНОМ ВОЗДУХЕ С ПОМОЩЬЮ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

Полезная модель относится к устройствам для обработки результатов измерений концентраций вредных веществ в атмосферном воздухе. Сущность: устройство содержит встроенные в общий корпус и связанные между собой модуль (5) сбора и хранения данных, модуль (12) сравнения данных, модуль (16) связи и модуль (23) прогноза. При этом модуль (23) прогноза содержит каскад из трех вычислительных сопроцессоров (17-19), рассчитывающих прогнозы, два из которых задействованы в обучении моделей искусственного интеллекта с последующим их сохранением в присоединенных запоминающих устройствах. Технический результат: повышение эффективности контроля работоспособности датчиков измерения концентрации загрязняющих веществ различных типов в атмосферном воздухе. 2 ил.

СПОСОБ И СИСТЕМА ДЛЯ ОБЕСПЕЧЕНИЯ ОПТИМИЗАЦИИ АДАПТИВНЫХ РАДИОЧАСТОТНЫХ ПЕРЕДАЮЩИХ УСТРОЙСТВ В РЕАЛЬНОМ ВРЕМЕНИ

Изобретение относится к оптимизации в реальном времени передающих радиочастотных (РЧ) устройств. Технический результат – уменьшение вычислительных затрат для оптимизаций РЧ-устройств в реальном времени. Для этого РЧ-система, такая как когнитивный радар, включает в себя программно-определяемую радиосистему, адаптивный передающий усилитель и хост-компьютер. Система выполняет операции оптимизации, включающие в себя выбор начального импеданса в качестве нагрузочного импеданса для РЧ-устройства и итеративное выполнение операций заполнения изображений до тех пор, пока не будет удовлетворен критерий сходимости. Операции заполнения изображений могут включать в себя измерение производительности РЧ-устройства, сохранение измеренной производительности в качестве точки на изображении измеренного контура согласования нагрузки, выполнение экстраполяции для согласования нагрузки для того, чтобы экстраполировать, из нагрузочного импеданса, прогнозированный оптимальный импеданс, и сохранение прогнозированного ...

Robotics systems

Modular base for forming installations and method for storage by means of stacking and movement of cases

Of the type suitable for being combined side-by-side with other, identical units and forming an installation for storage, movement and dispatch of diverse volumes capable of being packaged in cases that are stacked on each module, each base comprising a structural module (1) with three functional sections that constitute actual floors, a lower floor (2) called ground floor, an intermediate floor defined as first floor (3) and an upper floor defined as support surface (4), this latter having support shackles (5) for the stacked cases (6); the two floors (2 and 3) are likewise each provided with four rail segments (7) and (8) on which operates at least a movement robot (10) and a lifting robot (9); this entire assembly combines with other, identical units fitted to all or any one of the four sides thereof, this combination likewise coinciding with alignment between all of the rails (7) and (8) configuring tracks in the four directions of each structural module, and constituting routes for ...

METHOD AND SYSTEM FOR PERFORMING MODEL-BASED MULTI-OBJECTIVE ASSET OPTIMIZATION AND DECISION-MAKING

A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of controllable variables (502), uncontrollable variables (506), output objectives (504), and constraints (504). The building also includes selecting at least two output objectives or constraints (504), and identifying at least one controllable (502) or uncontrollable variable (506) suitable for achieving the at least two output objectives or constraints (504). The method also includes validating each predictive model (104) and performing multi-objective optimization using the predictive models (104). The multi-objective optimization includes specifying search constraints (504) and applying a multi-objective optimization algorithm (106). The method further includes generating a Pareto Frontier, and selecting a Pareto optimal ...

METHOD OF DEBUGGING TRAINED OF A RECURRENT NEURAL NETWORK

Sistema de equipos autónomos transportables y/o instalables en obra que permiten multiplicidad de tareas de construcción; equipos uav (vehículo aéreo no tripulado), dispositivos de adosamiento removible que se fija a obra, brazo robot y herramientas para efectuar tareas complejas. método suministro de carga poder, fluidos continuos y cable de suministros seguro en vuelo y tierra. software, inteligencia artificial y dispositivos.

...

SISTEMA AÉREO NO TRIPULADO PARA MULTI-TAREA PARA EFECTUAR MULTIPLICIDAD DE TAREAS SOBRE OBRAS COMPLEJAS EN ALTURA QUE ESTÁ COMPUESTO POR EQUIPOS AUTÓNOMOS EN VUELO, EQUIPOS AUTÓNOMOS EN TIERRA Y VEHÍCULOS DE TRANSPORTE AUTÓNOMO CON SUMINISTROS DE CARGA, COORDINADOS, ADMINISTRADOS Y CONTROLADOS EN UNA BASE DE CONTROL POR SOFTWARE E INTELIGENCIA ARTIFICIAL.

METHOD FOR THE OPERATION OF AN INPUT DEVICE, AND INPUT DEVICE

A method for operating an input device as a human-machine interface is proposed. In said method, a data processing device is controlled using the input device, sensor signals of the input device are determined using at least one sensor, control signals are generated in accordance with the sensor signals using an evaluation unit, and the control signals are forwarded to the data processing device using an output unit. The control signals in the evaluation unit are generated using a neural network.

Methods and systems for providing interface components for respiratory therapy

Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

System and method for instructing a device

A system and method of instructing a device is disclosed. The system includes a signal source for providing at least one visual signal where the at least one visual signal is substantially indicative of at least one activity to be performed by the device. A visual signal capturing element captures the at least one visual signal and communicates the at least one visual signal to the device where the device interprets the at least one visual signal and performs the activity autonomously and without requiring any additional signals or other information from the signal source.

Method and system for integrated audiovisual speech coding at low bitrate

A method to transmit face images including the steps of: preparing a facial shape estimation unit receiving speech produced by a speaker and outputting a signal estimation the speaker's facial shape when he/she speaks; transmitting the speech produced by the speaker from the transmitting side to the receiving side and applying it to the facial shape estimation unit so as to estimate the speaker's facial shape; and generating a motion picture of the speaker's facial shape based on the signal estimation the speaker's facial shape output by the facial shape estimation unit.

TRAINING METHOD FOR SPECIALIZING ARTIFICIAL INTELLIGENCE MODEL IN INSTITUTION FOR DEPLOYMENT, AND APPARATUS FOR TRAINING ARTIFICIAL INTELLIGENCE MODEL

A training method for specializing an artificial intelligence model in an institution for deployment and an apparatus for performing training the artificial intelligence model are provided. A method for operating a training apparatus operated by at least one processor includes extracting a dataset to be used for specialized training from data retained by a certain institution, selecting an annotation target for which annotation is required from the dataset by using a pre-trained artificial intelligence (AI) model, and performing supervised training of the pre-trained AI model by using data annotated with a label for the annotation target.

METHOD AND SYSTEM FOR CONTROLLING LOADS IN A BUILDING

Die Erfindung betrifft ein Verfahren (10) zur Steuerung von Lasten in einem Gebäude, insbesondere von Heizungsanlagen, Klimaanlagen und Lüftungsanlagen, wobei das Verfahren die nachfolgenden Schritte aufweist: - Ermitteln von Gebäudedaten für ein zu steuerndes Gebäude (12); - Ermitteln von Gebäudemodellparametern für ein digitales Gebäudemodell (14); wobei das Ermitteln der Gebäudemodellparameter den Einsatz eines vorab mit Trainingsdaten trainierten Klassifikators umfasst und der Klassifikator dazu ausgelegt ist, in Abhängigkeit von den ermittelten Gebäudedaten die Gebäudemodellparameter zu bestimmten; - Steuerung der Lasten in dem Gebäude in Abhängigkeit von dem ermittelten Gebäudemodell (16).

УСТРОЙСТВО ДЛЯ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ, СПОСОБ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ И ПРОГРАММА ДЛЯ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ

Группа изобретений относится к медицине, а именно к устройству для выявления намерения, способу выявления намерения и программе для выявления намерения. Предложены блок сбора данных для получения данных, содержащих по меньшей мере звуковую информацию, произносимую субъектом; детекторный блок для выявления ощущений субъекта с использованием полученных данных; решающий блок для определения весовых коэффициентов для полученных данных в соответствии с выявленными ощущениями субъекта; вычислительный блок для вычисления энергии, которая учитывает эмоции и активность органов человека, с использованием указанных данных и весовых коэффициентов; несколько элементов, каждый из которых содержит материал, изменяющий состояние в соответствии с вводимой энергией, рассчитанной вычислительным блоком, и выполненные с возможностью вывода сигналов, каждый из которых указывает изменение состояния материала в качестве показателя гомеостаза для эмоций человека и для активности органов человека; блок выявления ...

ИСПОЛЬЗОВАНИЕ ВЕРИФИЦИРОВАННЫХ ПОЛЬЗОВАТЕЛЕМ ДАННЫХ ДЛЯ ОБУЧЕНИЯ МОДЕЛЕЙ УВЕРЕННОСТИ

Изобретение относится к вычислительным системам. Технический результат направлен на повышение точности, извлекаемой из текстов на естественном языке информации. Способ извлечения информации из текстов на естественном языке включает выполнение обрабатывающим устройством семантико-синтаксического анализа по меньшей мере одной части текста на естественном языке для получения множества семантических структур, интерпретацию с помощью набора продукционных правил, определение значения по меньшей мере одного атрибута, ассоциированного с по меньшей мере одним информационным объектом из множества информационных объектов, определение степени уверенности, ассоциированной со значением по меньшей мере одного атрибута, при определении того, что степень уверенности ниже порогового значения уверенности, подтверждение и/или изменение значения по меньшей мере одного атрибута, добавление к обучающей выборке данных по меньшей мере одной части текста на естественном языке, определение с помощью обучающей выборки ...

СПОСОБ ЭВОЛЮЦИОННОГО МОДЕЛИРОВАНИЯ ЭПИДЕМИЧЕСКОЙ ДИНАМИКИ ВИЧ-ИНФЕКЦИИ

Изобретение относится к медицине, может быть использовано для прогнозирования уровня заболеваемости ВИЧ-инфекцией в регионе на основе эволюционного моделирования. Способ эволюционного моделирования эпидемиологической динамики ВИЧ-инфекции включает скрининговое обследование населения с помощью иммуноферментного анализа (ИФА), по результатам которого выделяют группу населения с наиболее вероятным риском заражения ВИЧ-инфекцией. В ней дополнительно определяют коэффициент подтверждаемости положительного результата ИФА в референс-исследованиях - иммунный блот (ИБ) и устанавливают, что чем выше значение коэффициента подтверждаемости, тем более высокий риск возникновения случаев ВИЧ-инфекции в данной группе населения: К=N/N⋅100, где К- коэффициент подтверждаемости, %; N- количество обследованных с положительным результатом скринингового ИФА, подтвержденного положительным референс-исследованием в ИБ; N- количество обследованных с положительным результатом скрининговых исследований с помощью ИФА ...

СПОСОБ РАБОТЫ И ОПРЕДЕЛЕНИЯ ПАРАМЕТРОВ РАБОТЫ ПРОКАТНОГО СТАНА

Изобретение относится к способам работы и определения параметров работы прокатного стана. Технический результат заключается в повышении точности определения широкого круга параметров прокатного стана, надежности контроля и управления его работой. Способ включает этапы предварительной настройки, контроля работы и корректировки настроек прокатного стана, при которых осуществляют первичное обучение множества нейронных сетей, каждое из которых соответствует своей марке стали или группе марок стали и своему искомому параметру, для каждого искомого параметра выбирают свой оптимальный набор исходных параметров, предназначенный для обучения соответствующего множества нейронных сетей, содержащего нейронные сети, с полным или не полным набором указанных исходных параметров, и определяют искомый параметр в процессе изготовления проката, осуществляют выбор искомого параметра, выбирают из множества нейронных сетей соответствующую имеющейся марке стали или группе марок стали и выбранному искомому параметру ...

СПОСОБ ОПРЕДЕЛЕНИЯ ПАРАМЕТРОВ ТЕРМОМЕХАНИЧЕСКОЙ ОБРАБОТКИ И ХИМИЧЕСКОГО СОСТАВА ФУНКЦИОНАЛЬНЫХ МАТЕРИАЛОВ С ПОМОЩЬЮ ГЛУБОКОЙ НЕЙРОННОЙ СЕТИ

Изобретение относится к способу определения параметров технологического процесса получения функционального материала и химического состава функционального материала. Технический результат заключается в повышении точности определения параметров термомеханической обработки и химического состава функциональных материалов. В способе в качестве нейронной сети прогнозирования используют глубокую сверточную нейронную сеть, обучение которой проводят в два этапа, на первом этапе на вход глубокой сверточной нейронной сети подают информацию о микроструктуре материалов в виде немаркированных цифровых изображений образцов функциональных и/или конструкционных материалов в количестве не менее 10 тысяч, на втором этапе на вход глубокой сверточной нейронной сети подают дополнительные данные, включающие маркированные цифровые изображения образцов функциональных материалов в количестве не менее 2 тысяч, далее на вход глубокой сверточной нейронной сети подают данные о требуемых физико-механических характеристиках ...

Быстрый двухслойный нейросетевой синтез реалистичных изображений нейронного аватара по одному снимку

Изобретение относится к области компьютерной графики и может быть использовано для синтеза говорящей головы, анимации лица. Техническим результатом является повышение разрешения и повышение быстродействия. Предложенная система создает нейронные аватары по одной фотографии. Согласно предложенному подходу внешний вид человека моделируется путем разложения его на два слоя. Первый слой - это зависящее от позы грубое изображение, которое синтезируется относительно малой нейросетью. Второй слой определяется независимым от позы текстурным изображением, содержащим высокочастотные детали. Текстурное изображение создается в автономном режиме и искажается, а затем добавляется к грубому изображению, чтобы обеспечить высокое эффективное разрешение синтезированных видов головы. 9 з.п. ф-лы, 2 ил.

Quantum circuit

Compounds for inducing tissue formation and uses thereof

The present disclosure provides a peptide, or a variant or analog thereof, or peptidomimetic comprising between 25 and 60 amino acids, having growth factor receptor-binding capability, wherein the RMSD value of the structure coordinates of said peptide, variant or analog thereof with respect to PEPREF is 2.45A (Angstroms) or less.

SUBTYPING PROSTATE CANCER TO PREDICT RESPONSE TO HORMONE THERAPY

The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of progression of cancer in a subject. The invention also provides biomarkers that define subgroups of prostate cancer, clinically useful classifiers for distinguishing prostate cancer subtypes, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of subtyping prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in subtyping prostate cancer in a subject. Classifiers for subtyping a prostate cancer are provided. Methods of treating cancer based on molecular subtyping are also provided.

INTELLIGENTUS (A FORM OF COMPUTERIZED INTELLIGENCE)

QUANTUM PROCESSOR BASED SYSTEMS AND METHODS THAT MINIMIZE AN OBJECTIVE FUNCTION

Quantum processor based techniques minimize an objective function for example by operating the quantum processor as a sample generator providing low-energy samples from a probability distribution with high probability. The probability distribution is shaped to assign relative probabilities to samples based on their corresponding objective function values until the samples converge on a minimum for the objective function. Problems having a number of variables and/or a connectivity between variables that does not match that of the quantum processor may be solved. Interaction with the quantum processor may be via a digital computer. The digital computer stores a hierarchical stack of software modules to facilitate interacting with the quantum processor via various levels of programming environment, from a machine language level up to an end-use applications level.

STORAGE CONTROL SYSTEM, SYSTEM, AND PROGRAM

METHOD FOR THE OPERATION OF AN INPUT DEVICE, AND INPUT DEVICE

A method for operating an input device as a human-machine interface is proposed. In said method, a data processing device is controlled using the input device, sensor signals of the input device are determined using at least one sensor, control signals are generated in accordance with the sensor signals using an evaluation unit, and the control signals are forwarded to the data processing device using an output unit. The control signals in the evaluation unit are generated using a neural network.

SEQUENTIAL IMAGE SAMPLING AND STORAGE OF FINE-TUNED FEATURES

Feature extraction includes determining a reference model for feature extraction and fine-tuning the reference model for different tasks. The method also includes storing a set of weight differences calculated during the fine-tuning. Each set may correspond to a different task.

Learning-Based Camera Pose Estimation From Images of an Environment

A deep neural network (DNN) system learns a map representation for estimating a camera position and orientation (pose). The DNN is trained to learn a map representation corresponding to the environment, defining positions and attributes of structures, trees, walls, vehicles, walls, etc. The DNN system learns a map representation that is versatile and performs well for many different environments (indoor, outdoor, natural, synthetic, etc.). The DNN system receives images of an environment captured by a camera (observations) and outputs an estimated camera pose within the environment. The estimated camera pose is used to perform camera localization, i.e., recover the three-dimensional (3D) position and orientation of a moving camera, which is a fundamental task in computer vision with a wide variety of applications in robot navigation, car localization for autonomous driving, device localization for mobile navigation, and augmented/virtual reality.

Constraint relaxation in a navigational system

Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; ...

SYSTEM AND METHOD FOR MAXIMIZING INFERENCE ACCURACY USING RECAPTURED DATASETS

The system and methods of the various embodiments enable convolutional neural networks to be trained for improved accuracy for a particular class of cameras, where the training is performed on one or more pre-existing datasets by recapturing the existing datasets using one or more cameras of the same class. Further, the system and methods of the various embodiments enable the accuracy of a convolutional neural network to be evaluated after it has been deployed on a target device, using a hardware-in-the-loop approach to validation.

Интеллектуальная система управления предприятием

Изобретение относится к системе управления предприятием. Технический результат заключается в автоматизации управления состоянием объектов и процессов на предприятии. Система содержит аппаратно-программный комплекс, обеспечивающий функционирование математической модели на основе производственной функции Кобба-Дугласа в формализме сетей Петри, связанный каналами передачи данных с множеством систем «человек-машина», соответствующих заданному функциональному назначению, обеспечивающий функционирование динамической математической модели предприятия в единой для предприятия облачной среде вычислений с масштабируемой архитектурой сетевых потоков, кластеризацией и единым программным обеспечением, структурированной на основе искусственной нейронной сети адаптивного резонанса, находящейся под управлением аппаратно-программного комплекса администратора, обеспечивающего обучение искусственной нейронной сети и распределение ресурсов предприятия, и связанной каналами передачи данных с множеством систем ...

УСТРОЙСТВО ДЛЯ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ, СПОСОБ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ И ПРОГРАММА ДЛЯ ВЫЯВЛЕНИЯ НАМЕРЕНИЯ

Программно-аппаратный комплекс, предназначенный для обработки аэрокосмических изображений местности с целью обнаружения, локализации и классификации до типа авиационной и сухопутной техники

Изобретение относится к программно-аппаратному комплексу, предназначенному для обработки аэрокосмических изображений местности. Техническим результатом является повышение точности автоматического обнаружения и локализации объектов интереса на крупноформатных аэрокосмических изображениях видимого диапазона. Комплекс содержит блок подготовки эталонных изображений, блок обнаружения и локализации, блок определения и ориентации, блок сегментации, блок классификации, вывод результатов, при этом аппаратная платформа содержит устройство, производящее параллельные векторные и матричные перемножения в процессе работы алгоритмов, а программная часть обеспечивает возможность обнаружения, локализации и классификации на аэрокосмических снимках объектов интереса, имеющих линейный размер объекта от 10 до 20 пикселей при общей площади снимка 20 млн пикселей и более; обеспечивает раздельную локализацию и классификацию объектов, находящихся в группах, при этом используются подходы AutoML для формирования ...

DATA VISUALIZATION PLATFORM FOR EVENT-BASED BEHAVIOR CLUSTERING

A platform for processing event traces to generate clusters of journey maps for an interactive user display. The clustering can be implemented using a genetic process. The clustering can be implemented using a distance measures. Other clustering techniques can be used. The platform can use the clustering results to generate interactive dynamic visualizations with interactive selectable portions. The platform can integrate processing mining and journey maps to generate interactive dynamic visualizations.

Information processing apparatus

aparelho de processamento de imagem, método de processamento de imagem, e meio de armazenamento onde um programa é armazenado

METHOD AND DEVICE FOR IMAGE PROCESSING, PROCESSOR, ELECTRONIC EQUIPMENT AND STORAGE MEDIUM

Neural nätverksapplikation för frekvensplanering

METHOD AND APPARATUS FOR AUTOMATIC CONFIGURATION OF META-HEURISTIC ALGORITHMS IN A PROBLEM SOLVING ENVIRONMENT

A methodology is presented to address the need for rapid generation and optimization of algorithms that are efficient in solving a given class of problems within the framework of a software environment. The environment incorporates an evolutionary learning methodology which automatically optimizes the configurations of procedural components of the algorithm. In this way, both the efficiency and the quality of algorithm development is enhanced significantly.

INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS

An information processing program that causes at least one computer to execute a process, the process includes, generating additional data by inputting meaningless data to a first machine learning model which has been trained with first training data; acquiring second training data by combining the first training data and the additional data; and training a machine learning model by using the second training data.

Способ построения интеллектуальной системы определения областей маршрутов полета беспилотного летательного аппарата в моделирующих комплексах

Изобретение относится к способу построения интеллектуальной системы определения областей маршрутов полета беспилотного летательного аппарата в моделирующих комплексах. Для определения областей маршрутов по данным геоинформационной системы производят обучение свёрточной нейронной сети (СНС), для чего подают на ее вход заранее подготовленный образ, а на выход пиксельную маску той же размерности. По завершении обучения приступают к выполнению основной задачи, для чего на вход системы вводят геоинформационные данные, формируют цифровой образ, который поступает на вход СНС. Спрогнозированный ответ сети поступает на устройство вывода информации. Обеспечивается определение наиболее безопасных областей маршрутов полета БПЛА. 3 ил.

Способ идентификации источника выброса вредных веществ в атмосферу на базе технологии искусственного интеллекта

Изобретение относится к области экологического мониторинга и может быть использовано для обнаружения источников загрязнений атмосферного воздуха на промышленных предприятиях. Сущность: в режиме реального времени с помощью постов контроля выполняют непрерывные замеры концентраций вредных веществ в атмосфере. Кроме того, с помощью метеостанций выполняют непрерывные замеры скорости и направления ветра. Результаты замеров поступают в головной компьютер, центральное процессорное устройство которого обрабатывает полученную информацию с привлечением интеллектуальной аналитической системы - модели искусственного интеллекта. В случае регистрации событий несанкционированного выброса вредных веществ в атмосферном воздухе с помощью модели искусственного интеллекта в соответствии с обученной стратегией поиска определяют расчетные местоположения источника загрязнения атмосферы на размеченной карте промышленного района путем перемещения поискового курсора. Устанавливают ближайший к расчетному местоположению ...

Subject modelling

A method of modelling the biological response of a biological subject. The method includes, in a processing system:, for a model including one or more equations and associated parameters, comparing at least one measured subject attribute and at least one corresponding model value. The model is then modified in accordance with results of the comparison to thereby more effectively model the biological response.

Method and apparatus for automatic configuration of meta-heuristic algorithms in a problem solving environment

Information identification method, program and system

Object tracking data association module and method

An object tracking data association module (100) comprising: a track data retriever (110) configured to provide at least one track data set of at least one track associated with at least one object detected; a sensor measurement data retriever (112) configured to provide at least one sensor measurement data set for the at least one track associated with the at least one object detected; and a difference parameter determiner (120) configured to determine at least one difference parameter that defines a relationship between the at least one sensor measurement data set and the at least one track data set of the at least one track associated with the at least one object detected; wherein the difference parameter determiner (120) comprises an exponential function module (122) configured to perform calculations using an exponential function, and the difference parameter determiner (120) is configured to use the exponential function module (122) to calculate the at least one difference parameter ...

Compounds for inducing tissue formation and uses thereof

The present disclosure provides a peptide, or a variant or analog thereof, or peptidomimetic comprising between 25 and 60 amino acids, having growth factor receptor-binding capability, wherein the RMSD value of the structure coordinates of said peptide, variant or analog thereof with respect to PEPREF is 2.45Å (Angstroms) or less.

Bone density modeling and orthopedic surgical planning system

A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.

INFRINGEMENT DETECTION METHOD, DEVICE AND SYSTEM

A method for detecting an infringement by vehicle operator is described. The method comprises detecting a vehicle; receiving one or more image of at least a part of the vehicle operator; automatically analysing with a neural network the one or more captured received image to detect an infringing act; and providing the one or more captured received images comprising the detected infringing act to thereby detect the infringement. Also described are a system, a device, a computer system and a computer program product all for detecting an infringement by a vehicle operator. The device may comprise one or more flash for illuminating the vehicle or a part thereof with light at a narrow band and one or more camera comprising a narrow band filter that lets through only the wavelengths of light produced by the one or more flash.

INTENTION EMERGENCE DEVICE, INTENTION EMERGENCE METHOD, AND INTENTION EMERGENCE PROGRAM

The device comprises: an acquiring unit for acquiring data including at least voice information spoken by a subject targeted for detection; a detecting unit for using the acquired data to detect the feelings of the subject; a determining unit for determining a weighting coefficient for the acquired data according to the detected feelings of the subject; a calculating unit for using the data and the coefficient to calculate the energy involved in human emotions and organ activity; a plurality of elements containing a material, the state of which alters in response to the input of the energy calculated by the calculating unit, the elements outputting signals indicating changes in the state of the material as an indicator of constancy in human emotions and organs; an emergence unit for determining feelings and emotions according to changes in the state of the material as included in the signals outputted by the plurality of elements; and a control unit for effecting a phase shift in the state ...

Method and control arrangement for updating the machine learn-ing based models in vehicle applications

Method (400) and control arrangement (310) for machine learning of a model-based vehicle application in a vehicle (100). The method (400) comprises: requesting (402) information of a model for the vehicle application from at least one vehicle external entity (101a, 101b); receiving (403) the requested (402) information from the vehicle external entity (101a, 101b); evaluating (404) whether the model of the vehicle external entity (101a, 101b) is applicable to the application of the vehicle (100) by comparing the received (403) information with vehicle configuration; determining (405) the vehicle external entity (101a, 101b) to provide the model when the received (403) information matches the vehicle configuration; and obtaining (406) the model from the vehicle external entity (101a, 101b) over a wireless communication interface (220).

ASSOCIATE MEMORY LEARNING FOR ANALYZING FINANCIAL TRANSACTIONS

A method for analyzing transaction information that involves storing each one of a plurality of transactions in an associative memory with an associated cluster identification number. A given one of the transactions is selected for analysis, the given one of the transactions having a specific cluster identification number. An entity analytics engine is used to search and obtain a first subplurality of transactions from the associative memory that are similar to the given transaction by having a common attribute or entity and assigning each of the transactions a similarity score. Each one of the transactions is further analyzed to determine if it would be beneficial to form a formal transaction relationship with an organization involved with at least one of the transactions of the cluster.

Navigating a vehicle based on predictive aggression of other vehicle

Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; ...

Tag-based apparatus and methods for neural networks

Apparatus and methods for high-level neuromorphic network description (HLND) using tags. The framework may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, and/or generate instances of connection types between these nodes. The HLND format may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, dynamically identify and/or select network subsets using tags, and/or generate instances of one or more connections between these nodes using such subsets. To facilitate the HLND operation and disambiguation, individual elements of the network (e.g., nodes, extensions, connections, I/O ports) may be assigned at least one unique tag. The tags may be used to identify and/or refer to respective network elements. The HLND kernel may comprises an interface to Elementary Network Description.

Information identification method, program product, and system using relative frequency

In a case where supervised (learning) data is prepared and the case where test data is prepared, the data is recorded with time information attached to the data. The method includes clustering the learning data in a target class and clustering the test data in the target class. Then, the probability density for each of identified subclasses is calculated for each of time intervals having various time points and widths for the learning data, and is calculated for each of time intervals in the latest time period which have various widths, for the test data. Then, a ratio between a probability density obtained when learning is performed and a probability density obtained when testing is performed is obtained as a relative frequency in each of the time intervals for each of the subclasses. Input having a relative frequency that statistically and markedly increases is detected as an anomaly.

System and methods for feature relevance visualization optimization and filtering for explainability in AI-based alert detection and processing systems

A system for feature relevance visualization optimization is provided. The system comprises a controller configured for modifying placement of features in a relevance visualization. The controller is further configured to: receive interaction data comprising one or more features positioned in the relevance visualization, wherein the one or more features are defined and measurable properties of the interaction data; construct a logical grouping of the one or more features based on a type of each of the one or more features, wherein similar features are collocated in the relevance visualization; construct a machine learning-based grouping of the one or more features based on relevance calculations for the one or more features; combine the logical grouping and the machine learning-based grouping to generate a combined feature placement, wherein the one or more features are repositioned in the relevance visualization; and output the relevance visualization having the combined feature placement ...

Способ использования виртуальной цифровой модели ходьбы пациента для дифференцированного построения индивидуальной программы физической реабилитации в раннем восстановительном периоде ишемического инсульта в зависимости от бассейна поражения

Изобретение относится к области медицины, а именно неврологии, кинезиологии, нейрофизиологии, медицинской реабилитации, функциональной диагностике, и может быть использовано в амбулаторных условиях, реабилитационных центрах при диагностике, дифференциальной диагностике, способах исследования нарушений двигательных функций при остром нарушении мозгового кровообращения (ОНМК), выборе методов реабилитации и контроле ее эффективности у пациентов с проявлениями и последствиями инсультов. Для построения индивидуальной программы физической реабилитации (ИПФР), включающей подбор физических упражнений, учитывают конкретные кинематические параметры ходьбы, определяемые в зависимости от бассейна ишемического инсульта (ИИ) по виртуальной цифровой модели ходьбы пациента (ВЦМХ), полученной при проведении 3D-видеоанализа движений с помощью цифровой оптико-электронной системы высокого разрешения SMART-D, оснащенной камерами с матрицами высокого разрешения с частотой сканирования движений до 100 Гц в секунду ...

Интегральный электронный синаптический КМОП-элемент

Изобретение относится к области нейроморфной электроники и может быть использовано в качестве синаптического элемента при интегральной реализации нейронных сетей. Технический результат заключается в расширении рабочего диапазона входного аналогового напряжения электронного синаптического КМОП-элемента. Для этого предложен интегральный электронный синаптический КМОП-элемент, содержащий МОП-транзисторы с дырочной проводимостью каналов и дополнительно содержащий инвертирующий усилитель, образованный интегральным операционным усилителем, первым, вторым, третьим и четвертым интегральными резисторами. 3 ил.

СПОСОБ КОНТРОЛЯ ПОЖАРНОЙ ОПАСНОСТИ В ПОМЕЩЕНИИ

Изобретение относится к противопожарной технике, а именно к способу контроля пожарной опасности в помещении, включающему обнаружение возгораний c помощью нейронной сети. Способ включает использование переносного устройства контроля пожарной безопасности, выполненного в виде чемодана-контейнера, из которого достают и размещают на потолке извещатели пожарные тепловые, извещатели пожарные пламени, извещатели пожарные дымовые и газоаналитические сенсоры кислорода, оксида углерода, диоксида углерода и камеру видеонаблюдения и подключают к разъемам чемодана-контейнера и постоянно измеряют температуру воздуха и скорость ее роста, концентрацию частиц дыма, определяют электромагнитное излучение пламени, концентрации кислорода, диоксида углерода, монооксида углерода в воздухе. Камеру видеонаблюдения, вынутую из чемодана-контейнера, размещают на потолке в углу помещения и подключают к разъемам чемодана-контейнера и к мобильному компьютеру, вынутому из чемодана-контейнера, блоки питания которого подключают ...

Information identification method, program and system

The objective of the present invention is to provide a technique capable of detecting, with high accuracy, data for a false positive that has been maliciously created in processing for reviewing or assessing an application form by way of supervised machine learning. According to the invention, first, both when preparing supervisor (learning) data and when preparing test data, a time is added when a data unit is recorded. Next, the learning data for the object class are clustered, and similarly, the test data for the object class are clustered. Next, with regard to the learning data, for each time frame of various times and durations, and with regard to the test data, for each immediate time frame of various durations, an identification probability density is aggregated for each subclass. Next, for each subclass of each time frame, the ratio of the probability densities for learning time to testing time are treated as a relative frequency, and an input for which the relative frequency increases ...

Method and apparatus for automatic configuration of meta-heuristic algorithms in a problem solving environment

A methodology is presented to address the need for rapid generation and optimization of algorithms that are efficient in solving a given class of problems within the framework of a software environment. The environment incorporates an evolutionary learning methodology which automatically optimizes the configurations of procedural components of the algorithm. In this way, both the efficiency and the quality of algorithm development is enhanced significantly.

AN ARTIFICIAL INTELLIGENCE BASED HEART DISEASE MONITORING SYSTEM

Abstract AN ARTIFICIAL INTELLIGENCE BASED HEART DISEASE MONITORING The present invention relates to an artificial intelligence based heart disease monitoring system. The invention is supported by two feature selection methods that improve quality of training. Entropy and gain based feature selection algorithm considers selection of features that contribute to class label prediction. It is based on the combination of two measures known as entropy and gain. It is found to be crucial for performance improvement. The second feature selection algorithm is known as heuristics based feature selection that selects features by heuristically learning the features and their importance by using a real model. This feature selection algorithm is found to have its influence on decision support system. A deep learning based algorithm is proposed based on Convolutional Neural Network (CNN) model that exploits configured convolutional and max pooling layers and also feature selection methods in order to ...

A METHOD FOR EVALUATING MENTAL HEALTH DISORDERS TO PROVIDE A MEDICINE FOR THE SAME

The present disclosure seeks to provide a method for evaluating mental health disorders to provide a medicine for the same. The target is to create a podium which will be able to categorize the dataset into reappearance and non-reappearance. It should be noted that no reappearance on the basis of age, sex, drug and therapy time formerly and later of providing drugs to the patients. It is also speculated, which drug should be provided to the patient if the patient has a recurrence of such ailment even after the remission of it. On the basis of the recurrence issue, the suggested algorithm of the present disclosure proposes to intake the drug on the basis of the assorted forms which are filled by the victim of such ailments while visiting hospitals. 100 > Receiving a set of queries filled by a user through a user 102 int erface Calculating entropy of a database input on the basis of 1G4 gender, treat and age for classifying the database in consonance with maximum entropy Predicting recurrence ...

METHOD AND SYSTEM FOR PERFORMING MULTI-OBJECTIVE PREDICTIVE MODELING, MONITORING, AND UPDATE FOR AN ASSET

A method and system for performing multi-objective predictive modeling, monitoring, and update for an asset is provided. The method includes determining a status of each of at least two predictive models for an asset as a result of monitoring predicted performance values. The status of each predictive model includes at least one of: acceptable performance values, validating model, and unacceptable performance values. Based upon the status of each predictive model (104), the method includes performing at least one o~ terminating use of the at least two predictive models (104) for the asset, generating an alert for the asset of the status of the at least two predictive models (104), and updating the at least two predictive models (104) based upon the status of the at least two predictive models (104).

APPARATUS FOR FAST CLUSTERING OF MASSIVE DATA BASED ON VARIATE-SPECIFIC POPULATION STRATA

ABSTRACT An apparatus for fast clustering of massive data is disclosed. A set of variates characterizes a population of objects with the domain of each variate segmented into a variate-specific number of population strata. The set of variates and the variate-specific population strata define boundaries of a number of cluster zones. Each object of the population of objects is allocated to a cluster corresponding to a respective cluster zone according to the boundaries of the cluster zones and object vectors individually characterizing the population of objects. Upon receiving a specific object vector of a model object, a specific cluster compatible with the model object is determined according to the specific object vector and the boundaries of the cluster zones. Date Recue/Date Received 2021-01-17 ...

FRACTURE PREDICTION METHOD AND DEVICE, PROGRAM, AND RECORDING MEDIUM

In the present invention, during a deformation simulation of a member that is joined by spot welding, on a flat surface (13a) of a member (10) to which a spot welded part (14) is provided, an effective width, which is a width that is in a direction orthogonal to the direction of a load centered on the spot welded part (14) and that changes in accordance with a change of the load, is calculated at each prescribed time interval, and then breakage of the spot welded part (14) is predicted using the calculated effective width. Due to this configuration, when performing collision deformation prediction of an automobile member on a computer, for example, breakage of a spot welded part for which spot welding was modeled can be accurately predicted.

INTENTION EMERGENCE DEVICE, INTENTION EMERGENCE METHOD, AND INTENTION EMERGENCE PROGRAM

TRANSLATION SERVICE METHOD USING NETWORK

The present invention relates to a translation service method using a network, capable of selecting the optimal proofreader group and performing translation as artificial intelligent (AI) translation software is executed. The present invention relates to a method of performing the translation using the AI translation software, which includes the steps of: receiving data on the request for translation from a client; executing the AI software; creating a primarily translated copy by the AI translation software; providing the created primarily translated copy to a preset proofreader group; receiving a plurality of translation response data from the preset proofreader group; selecting one of the translation response data by a manager of the AI translation software; translating the selected translation response data to the client; and receiving an accept request signal from the client. COPYRIGHT KIPO 2016 (110) Control module (120) Storage module (130) User input module (140) Software module ...

ARTIFICIAL INTELLIGENCE-BASED CHARACTERISTIC FACTOR PREDICTION METHOD AND BUILDING ENERGY CONSUMPTION PREDICTION METHOD USING SAME

An object of the present invention is to provide an artificial intelligence-based characteristic factor prediction method capable of calculating a predicted value approximate to an actual value with respect to a predicted characteristic factor in which the actual value does not exist and a method for predicting building energy consumption using the same. The artificial intelligence-based characteristic factor prediction method of the present invention comprises a population setting step of setting a characteristic factor population including a first characteristic factor and a second characteristic factor which are correlated with each other; a verification population setting step of setting a verification population having a plurality of first characteristic factor actual values measured at different time points with respect to the first characteristic factor of the characteristic factor population; a verification prediction value calculating step of predicting a plurality of first characteristic ...

PREDICTION FUNCTION CREATION DEVICE, PREDICTION FUNCTION CREATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

A prediction function creation device (10) is provided with: a clustering unit (11) that uses a set of samples that include an explanatory variable and an objective variable as training data to carry out clustering of each sample and assign a label thereto in accordance with an explanatory variable loss pattern in each of the samples, and sets a weight in each label so as to match the explanatory variable loss pattern in the sample to which said label has been assigned; a secondary model creation unit (12) that, using one part of the training data as partial training data on the basis of weight, determines an explanatory variable that constitutes a prediction function for each label on the basis of the explanatory variable loss pattern in the partial training data; and a mixed model creation unit (13) that creates a prediction function for each loss pattern using the determined explanatory variable and the partial training data.

Modifying training data for video response quality optimization

Techniques for modifying training data for video response quality optimization are provided. In one technique, training data is identified that is generated based on video presentation data that indicates multiple video items were presented to multiple entities. The training data comprises multiple training instances, each indicating a presentation of at least a portion of a video item to an entity. For each training instance in a subset of the training instances, a quality metric of the presentation of the video item indicated in said each training instance is computed and that training instance is modified based on the quality metric. After modifying one or more of the training instances, the model is trained using one or more machine learning techniques. In response to a content request, the model is used to determine whether to transmit a particular video item over a network to a computing device of a particular entity.

BATTERY-SYSTEM-DETERIORATION CONTROL DEVICE, AND METHOD THEREOF

A battery-system deterioration control device compatible to diversification of applications by appropriately learning a necessary deterioration model for a deterioration control. The battery-system deterioration control device includes a utilization-record-data obtaining block, a learning instruction block, and a learning block. The utilization-record-data obtaining block obtains utilization record data of a battery cell. The learning block updates a data amount of a deterioration model parameter indicating the deterioration state of the battery cell based on the utilization record data, learns the deterioration model parameter, and outputs the learnt result that is a deterioration rate table. The learning instruction block compares the utilization record data and the data amount that is the estimation value, determines the necessity of learning of the deterioration model parameter, and outputs a learning instruction signal to the learning unit.

Selektieren von sensorumgebungsbezogenen Trainingsdaten

Verfahren zum Selektieren von sensorumgebungsbezogenen Trainingsdaten mit den folgenden Schritten:- Erkennen (S1) einer unzureichend trainierten Situation aufgrund einer menschlichen Interaktion;- Identifizieren (S2) von Sensordaten, die sich auf die unzureichend trainierte Situation beziehen.

Pneuron distributed analytics

Alignment techniques to match symmetry point as zero-weight point in analog crosspoint arrays

Zero-shifting techniques in analog crosspoint arrays are provided. In one aspect, an analog array-based vector-matrix multiplication includes: a weight array connected to a reference array, each including a crossbar array (802, 804) having a set of conductive row wires (806a, 806b) and a set of conductive column wires (808a, 808b) intersecting the set of conductive row wires (806a, 806b), and optimizable crosspoint devices (810a, 810b) at intersections of the set of conductive column wires (808a, 808b) and the set of conductive row wires (806a, 806b). A method for analog array-based vector-matrix computing is also provided that includes: applying repeated voltage pulses to the crosspoint devices (810a) in the weight array until all of the crosspoint devices (810a) in the weight array converge to their own symmetry point; and copying conductance values for each crosspoint devices (810a) from the weight array to the reference array.

Dasatinib response prediction models and methods therefor

Contemplated systems and methods employ ...

SYSTEM AND METHOD FOR VALIDATING DATA

ABSTRACT A system and method are provided for validating data. The method is executed by a device having a data interface coupled to a processor and includes obtaining a validation set comprising at least one validation case, each validation case comprising at least one test condition. The method also includes obtaining, via the data interface, at least one data set to be validated using the validation set. The method also includes applying the validation set to the at least one data set to validate the data in the data set by, for each record in the at least one data set, validating a value in the record according to the at least one test condition. The method also includes outputting a validation result for each record. - 28 -23833811.1 CA 3070681 2020-01-31 ...

INFRINGEMENT DETECTION METHOD, DEVICE AND SYSTEM

A method for detecting an infringement by vehicle operator is described. The method comprises detecting a vehicle; receiving one or more image of at least a part of the vehicle operator; automatically analysing with a neural network the one or more captured received image to detect an infringing act; and providing the one or more captured received images comprising the detected infringing act to thereby detect the infringement. Also described are a system, a device, a computer system and a computer program product all for detecting an infringement by a vehicle operator. The device may comprise one or more flash for illuminating the vehicle or a part thereof with light at a narrow band and one or more camera comprising a narrow band filter that lets through only the wavelengths of light produced by the one or more flash.

Method and system for generating robot interactive content, and robot

변형 해석 장치, 변형 해석 방법 및 프로그램을 기록한 기록 매체

... 재료의 해석 데이터를 기억하는 기억부(12)와, 해석 데이터에 의거하여 재료의 변형의 각 시각에 있어서의 상기 재료의 각 요소의, 응력 및 그 밖의 상태 변수를 산출하는 상태 변수 산출부(152)와, 산출된 상태 변수에 의거하여 재료의 각 요소에 있어서, 미리 상기 재료에 대하여 구한 파단 한계 응력선에 의거하여, 파단이 발생했는지 여부를 판정하는 파단 판정부(153)와, 재료의 각 요소 중 파단이 발생하였다고 판정된 요소에 대해서, 상기요소를 소거하지 않고, σ를 강성 저하를 고려한 응력, D를 연속체 손상 역학에 있어서의 손상 변수(단, 0≤D≤1) 및 σ'를 강성 저하를 고려하지 않은 응력으로 하고, 다음 식에 의해 σ를 감소시킴으로써, σ=(1-D)σ' 상기요소의 강성을 저하시켜, 해석 데이터를 갱신하는 응력 수정부(154)를 구비한다.

Intelligent Automated Assistant

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Autonomous robotic life form

A robotic life form simulates a live creature responsive to a changing environment sensed by the robot, and has a robotic body that is articulated for motion around an upright axis and supported by at least two legs, each having at least two joints. The neck of the body terminates in a head provided with eyes and a mouth, and, in the illustrated creature, has a tail. Internal and external input sensors are located on the robotic body and responsive to touch, sound and lighting conditions, motion, food, temperature, voice commands, time of day, and obstacles and hazards, and include a head touch sensor, a plurality of touch sensors extending along a torso of the body, and a plurality of touch sensors on the feet. Actuators responsive to the input sensors control the eyes of the robot, opening and closing of its mouth, movement of the head, movement of the neck relative to the torso, and relative movements of the front and rear sections of the torso to cause the torso to pivot and twist and thereby provide lifelike responses to the sensed conditions. Drive index levels in accordance with priority criteria selected from a plurality of animation groups determine the drive index levels, and servo actuators associated with the body are responsive to dominant drive indexes causing the robot to execute animations resulting therefrom.

Systems, methods, and apparatus for otoacoustic protection of autonomic systems

Systems, methods and apparatus are provided through which in some embodiments an autonomic unit transmits an otoacoustic signal to counteract a potentially harmful incoming signal.

Measurement of emotional response to sensory stimuli

A method of measuring emotional response of at least one subject to a specific sensory stimulus comprises establishing ( 202 ) a plurality of basic emotions for measurement, including one or more positive affect emotions and one or more negative affect emotions. The subject is presented ( 302 ) with the specific sensory stimulus, and for each basic emotion is further presented ( 306 ) with a computer-generated display comprising interactive animated visual images representative of a metaphorical concept corresponding with the basic emotion. Input is then received ( 308 ) from the subject, who is enabled to adapt the animated visual images to accord with an emotional response to the sensory stimulus. The received input is converted to a corresponding quantitative emotional response value for each basic emotion. The quantitative emotional response value may be a difference value derived from a change in emotional state of the subject and based upon an initial calibration of emotional state performed prior to presenting the subject with the sensory stimulus. A visual presentation ( 1000 ) is generated, which comprises representations ( 1004, 1012, 1014 ) of the quantitative emotional response values for each of the plurality of basic emotions, whereby the relative emotional response of the subject in respect of each basic emotion is visually distinguishable.

System and method for simulating conciousness

A simulated consciousness method ( 10 ) for an improved human/computer interface. A computer system ( 12 ) is programmed to have a Digital Life Form ( 32 ) possessing a plurality of attributes ( 65 ). A plurality of actions ( 64 ) taken relative to objects ( 60 ) in the environment ( 30 ) contribute to simulated feelings ( 76 ) which ultimately control the viability of the Digital Life Form ( 32 ). When there are not sufficient energy packets ( 66 ) to sustain the Digital Life Form ( 32 ) then simulated death 52 results. Therefore, only actions ( 64 ) which contribute to the viability of the Digital Life Form ( 32 ) are repeated in the long-run. Some of those actions ( 64 ) include perception of reality, concept formation, and natural language processing.

System and method for motion editing multiple synchronized characters

Disclosed are a system and a method for motion editing multiple synchronized characters. The motion editing system comprises: a Laplacian motion editor which edits a spatial route of inputted character data according to user conditions, and processes the distortion of the interaction time; and a discrete motion editor which applies a discrete transformation while the character data is processed.

Automatic increasing of capacity of a virtual space in a virtual world

A system for automatically increasing a capacity of a virtual space in a virtual world may include a processor and a module operating on the processor for detecting an attempt by an avatar to enter a virtual space in a virtual world. The system may also include another module for determining if an allowable number of avatars is currently in the virtual space. The allowable number of avatars may be determined by at least a capacity of a server that is hosting the virtual space. Another module may be provided for increasing a capacity of the virtual space when the allowable number of avatars is currently in the virtual space. Increasing the capacity of the virtual space may include spawning a replicate new virtual space on a different server in response to the capacity of the server that is hosting the virtual space reaching the allowable number of avatars.

System and method for editing and controlling the behavior of a mobile robot

The invention relates to a system and a method for editing and controlling actions of a mobile robot. It notably allows for the creation and modification of behaviors and of motions both according to an event logic and according to a time logic, the latter controlling the event logic and thus allowing for the synchronization of the behaviors and motions of the different robot subassemblies. To this end, the system is organized in behavior and motion layers which comprise action sequences and a timeline. The actions can be programmed in boxes interconnected by signals which convey information. The boxes are organized in a hierarchical structure, the lowest level of which comprises a script that can be interpreted by a virtual robot which simulates the execution of the commands and, where appropriate, by a physical robot. The motions of the robot can also be controlled graphically by motion screens.

Method to generate humanlike motion of humanoid robot

A method and apparatus to generate a humanlike motion of a humanoid robot which is capable of performing a humanlike breathing motion. For example, the method includes calculating target rotational angles of respective rotary joints to perform a basic motion according to a user command, calculating rotational angles of respective rotary joints to perform a breathing motion, and generating the breathing motion by adding up the target rotational angles of the respective rotary joints to perform the basic motion and the rotational angles to perform the breathing motion and providing the angles obtained thereby to respective rotary joints constituting joint units related to the breathing motion, thus providing intimacy and aesthetic stability to users.

Model simulating the evolutionary dynamics of events or processes and method of generating a model simulating the evolutionary dynamics of events or processes

A model simulating the evolutionary dynamics of events or processes includes a non linear adaptive mathematical system simulating the spatial and temporal dynamics of the event or processes by using measured values of a certain number of parameters describing the evolutionary condition of the event or process at certain different times. The values of such parameters are measured at a first time and at least a second time different from and following the first time. The model enables the definition of a n-dimensional array of points in a n-dimensional reference system having an axis that represents the values of the parameters being measured, the parameters in the array being represented by special points in the array of points. The displacements of each of the points of the array of points are computed as a function of the displacements in the array of points of each of the points representing the measured parameter values between a first time of measurement and at least a successive second time of measurement and as a function of the distance of each of the points of the array of points from each of the points representing the measured parameters. The evolution of the event and or the model in time is visualized by displaying the points of the array of points at different times.

Systems and Methods for Managing Interactions Between an Individual and an Entity

A system that incorporates teachings of the present disclosure may include, for example, a synthesis engine having a controller, and a storage medium for storing instructions to be executed by the controller. The instructions, when executed by the controller, can cause the controller to retrieve collected information associated with a behavior of an individual, synthesize from the information a measure of a mood of the individual to interact with others, and transmit the measure to a system associated with the individual to manage requests between the individual and the entity. The measure of the mood of the individual can indicate an availability of the individual and a receptiveness of the individual to accept a request to interact with an entity. The measure can be described by a plurality of dimensions. Other embodiments are disclosed.

Biological analog-to-digital and digital-to-analog converters

Described herein are novel biological converter switches that utilize modular components, such as genetic toggle switches and single invertase memory modules (SIMMs), for converting analog inputs to digital outputs, and digital inputs to analog outputs, in cells and cellular systems. Flexibility in these biological converter switches is provided by combining individual modular components, i.e., SIMMs and genetic toggle switches, together. These biological converter switches can be combined in a variety of network topologies to create circuits that act, for example, as switchboards, and regulate the production of an output product(s) based on the combination and nature of input signals received.

Robotic controller that realizes human-like responses to unexpected disturbances

A robotic structure includes a component that moves from a first position to a second position. Further, the robotic apparatus includes a robotic controller that (i) receives an input quantity and an output quantity that are computed from human motion data based on a human musculoskeletal model, (ii) computes at least one parameter based on the input quantity and the output quantity, and (iii) outputs the output quantity to the component upon an input of robotic motion data from the component.

Tag-based apparatus and methods for neural networks

Apparatus and methods for high-level neuromorphic network description (HLND) using tags. The framework may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, and/or generate instances of connection types between these nodes. The HLND format may be used to define nodes types, define node-to-node connection types, instantiate node instances for different node types, dynamically identify and/or select network subsets using tags, and/or generate instances of one or more connections between these nodes using such subsets. To facilitate the HLND operation and disambiguation, individual elements of the network (e.g., nodes, extensions, connections, I/O ports) may be assigned at least one unique tag. The tags may be used to identify and/or refer to respective network elements. The HLND kernel may comprises an interface to Elementary Network Description.

Autonomic and apoptotic, aeronautical and aerospace systems, and controlling scientific data generated therefrom

A self-managing system that uses autonomy and autonomicity is provided with the self-* property of autopoiesis (self-creation). In the event of an agent in the system self-destructing, autopoiesis auto-generates a replacement. A self-esteem reward scheme is also provided and can be used for autonomic agents, based on their performance and trust. Art agent with greater self-esteem may clone at a greater rate compared to the rate of an agent with lower self-esteem. A self-managing system is provided for a high volume of distributed autonomic/self-managing mobile agents, and autonomic adhesion is used to attract similar agents together or to repel dissimilar agents from an event horizon. An apoptotic system is also provided that accords an “expiry date” to data and digital objects, for example, that are available on the internet, which finds usefulness not only in general but also for controlling the loaning and use of space scientific data.

Gathering path data from a massively multiplayer on-line role-playing game

Technologies are generally disclosed for gathering path data from a massively multiplayer on-line role-playing game to determine a path through a mapping plane that may be a real-world or virtual-world representation.

Method of Simulation Reproductive Creatures

The present invention is an interactive simulation of animate creatures. This program is a computerized method of simulating reproductive virtual pets that display complex patterns of genetic variation, but which will not consume excessive amounts of system resources. This program is comprised of computerized simulations, manufacturers, compositions of matter and processes including reproducing objects, such as pets.

Humanoid game-playing robot, method and system for using said robot

The invention relates to a player humanoid robot, a method and computer programs associated therewith. The prior art does not disclose any humanoid robot able to move on its lower limbs, to perform gestures, to communicate visual and/or audible signs, to receive same and interpret them so as to deduce therefrom appropriate behaviors for participating in a game in time as compere, questioner, questioned, investigator or mobile stake for the game. The hardware architectures, internal software and software for programming the robot of the invention make it possible to carry out these functions and to create new game experiences in which the boundaries between virtual world and real world are shifted once again.

Managing virtual universe avatar behavior ratings

Inappropriate behavior, such as harassment, expletive laden communications, violence or sexually explicit behavior in a virtual universe (VU) can lead to negative experiences for VU users. Younger users of a VU can be more susceptible to inappropriate behavior than adult users. A VU system can monitor behavior and associate behavior ratings with avatars within the VU to respond to avatar/user behavior. A system can determine behavior ratings based upon avatar interactions, user complaints or complements about an avatar, actions within the VU, etc. The system can subject poorly behaving avatars to various penalties (e.g., restriction from certain areas, account termination, etc.). The system can also reward avatars that exhibit good behavior (e.g., allowing access to bonus areas or content, awarding points that can be used as VU currency, etc.). Penalizing inappropriate behavior and rewarding positive behavior can increase safety of minors in the VU, and increase user experience overall.

Estimating apparatus, estimating method, and computer product

An estimating apparatus includes a processor configured to update a state of a first particle group indicating a state of a mobile body, from a current state to a next state through a simulation that is based on a state equation of the mobile body in a space using a particle filter; measure at each update, a distance between the mobile body and an object in the space; generate at each update, a second particle group indicating a state of a specific area in the space; calculate a level of likelihood for each particle of the first particle group and for each particle of the second particle group, based on the measured distance, the updated first particle group, and the generated second particle group; and identify a position of the mobile body in the space, based on the level of likelihood calculated for each particle.

Personalized Vocabulary for Digital Assistant

Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. The received text string is interpreted to derive a representation of user intent based at least in part on a plurality of words associated with a user and stored in memory associated with the user, the plurality of words including words from a plurality of user interactions with an automated assistant. At least one domain, a task, and at least one parameter for the task, are identified based at least in part on the representation of user intent. The identified task is performed. An output is provided to the user, where the output is related to the performance of the task.

Robotic system, robot control method and robot control program

A robotic system includes: a detection unit that detects at least one of a voice, light and an image of a content outputted by a content output device; a decision unit that assesses information detected by the detection unit on the basis of reference data so as to assess the content outputted by the content output device; and a control unit that controls a behavior or a state of the robotic system on the basis of the assessment made by the decision unit.

Method and apparatus for authoring task

An apparatus for authoring a task includes a scenario extracted information input unit configured to receive data, an event, and behavior information that are extracted from a task scenario; and a partial behavior information generator configured to extract and write partial behavior rules/sequences based on the received data, event, and behavior information. Further, the apparatus includes an overall behavior information generator configured to set relationship between the written partial behavior rules/sequences and integrate the partial behavior rules/sequences according to the set relationship to write overall behavior rules/sequences; and a task conversion unit configured to convert the written overall behavior rules/sequences into a task which a robot and/or an intelligent agent may execute.

Pneuron distributed analytics

A method and system for the integration of disparate data stored within an Information Technology infrastructure of a company is provided. The system and method enables holistic, real time control of data discovery, retrieval and analysis. The system combines data mining, retrieval and analytics at the source of the data, thereby solving traditional problems with disparate and distributed data, systems, business processes and analytics across an organization. The system enables a user to configure and target data, then apply rules, workflows and analytics from one central source. This process is accomplished by distributing functions in the form of software pneurons against the existing infrastructure for maximum processing while preserving a robust and extendable suite of definitions. The system uses the existing application, network and hardware assets and enables connection to the native data, maps only the data fields that need to be mapped to carry out the desired analysis, runs the analysis and then returns the data to a central location to be assembled, analyzed, organized and/or reported.

Method for closed-loop controlling a laser processing operation and laser material processing head using the same

The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error e t between a quality indicator y e and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-loop controlled processing operation.

PROCESS FOR GENERATING A COMPUTER-ACCESSIBLE MEDIUM INCLUDING INFORMATION ON THE FUNCTIONING OF A JOINT

A process for generating a computer-accessible medium including information on the functioning of a joint includes the following steps: (i) obtaining an image dataset with the aid of a radiological examination of the joint, (ii) building a computer model of the joint using the image dataset, (iii) performing a biomechanical or kinematic simulation using the computer model and determining one or more biomechanical or kinematic simulation results, and (iv) receiving the biomechanical or kinematic simulation results as a multimedia object and integrating the multimedia object with a computer-accessible medium. 1. A process for generating a computer-accessible medium comprising information on the functioning of a joint , wherein the computer-accessible medium comprises an executable instruction to run a multimedia object , the process comprising:(i) obtaining an image dataset with the aid of a radiological examination of the joint;(ii) building a 3D-computer model of the joint using the image dataset;(iii) performing a biomechanical or kinematic simulation using the computer model to obtain biomechanical or kinematic simulation results; and(iv) receiving the biomechanical or kinematic simulation results as a multimedia object and integrating the multimedia object with a computer-accessible medium.2. A process according to claim 1 , wherein in step (iii) one or more relevant biomechanical or kinematic simulation results are determined claim 1 , and wherein in step (iv) the relevant biomechanical or kinematic simulation results are received as a multimedia object and integrated with a computer-accessible medium.3. A process according to either of or claim 1 , wherein the computer-accessible medium comprises an interactive 3D model of the joint based on the computer model as obtained in step (ii) claim 1 , and wherein the computer-accessible medium comprises executable instructions to interact with the 3D model.4. A process according to claim 3 , wherein in step (iii) a ...

Multiple-entity scenario simulation incorporating human interaction

Mechanisms for incorporating a human into an automated multiple-entity scenario simulation are disclosed. A Petri-net message processor function (PMPF) receives a first Petri-net message from a source activity node function (ANF). The Petri-net message includes a simulation activity identifier that identifies a first simulation activity. The PMPF routes the first Petri-net message to a first ANF based on the simulation activity identifier. The first ANF receives the first Petri-net message and provides a message to a user based on the first Petri-net message. A response is received from the user. A second Petri-net message is generated based on the response and is communicated to a destination ANF to trigger a second simulation activity by the destination ANF.

NEW CLASSIFICATION METHOD FOR SPECTRAL DATA

The present invention relates to a new method for classification of spectral data comprising: 1. A method for classification of spectral data comprising:a. analyzing at least two samples belonging to at least one cluster through recording of a spectrum;b. for each spectrum determining the peaks and the spectral value at which they occur;c. calculating the probability (p) of occurrence for each peak for every cluster and from this the odds ratio p/(1−p) for each peak;d. preparing a spectrum from a sample to be classified with the same technique as in step a);e. determine the peaks in the spectrum obtained in step d);f. calculate the likelihood of identity for each cluster by multiplying per cluster the odds ratio in said cluster for each peak found in the spectrum of step d); andg. assign the sample tested in step d) to the cluster that provides the largest number as a result of step f).2. Method according to claim 1 , wherein the spectrum is selected from the group consisting of a MALDI-MS spectrum claim 1 , a MALDI-TOF-MS spectrum claim 1 , a Raman spectrum claim 1 , an FT-IR spectrum claim 1 , a near-infrared (NIR) spectrum and a frequency spectrum.3. Method according to claim 1 , wherein the sample is a biological sample claim 1 , preferably wherein said biological sample comprises a microorganism.4. Method according to claim 3 , wherein the spectrum is a MALDI-TOF-MS spectrum.5. Method according to claim 1 , wherein a peak in the spectrum obtained in step d) is equivalent with a peak in the spectrum obtained in step b) if it occurs at the same spectral value claim 1 , or at a spectral value that lies within the range of 98-102% of the spectral value of the peak detected in step b.6. Method according to where in the calculation of the odds ratio the peak values per spectrum information on the amplitude of the peak is taking account of by correction with a weighing factor.7. Method according claim 1 , wherein the number of samples for each cluster in step a) is at ...

Robot cell, assembling method of robot cell, and robot system

A robot cell according to an aspect of the embodiments includes a first surface part and a second surface part. A robot that performs a work by performing a predetermined operation is arranged on the first surface part. In the second surface part, a plurality of fixing portions that are used to fix a working unit used in the work by the robot is arranged at a predetermined position, and the working unit is fixed to the second surface part by using a fixing portion selected from the fixing portions.

Instructional humanoid robot apparatus and a method thereof

The present invention relates generally to an instructional humanoid robot. More particularly, the invention encompasses an apparatus and a method for having an instructional robot which is capable of physically and instructionally demonstrating the correct manner of performing the Islamic prayer and similar other Islamic or Muslim teachings. The instructional humanoid robot can also be programmed to perform any teaching or instructions as desired by the user or an operator. The instructional humanoid robot can also be preprogrammed to perform certain functions via the aid of a computer or similar device. The instructional humanoid robot can also be interactive via instructions and information accessed from a library, databank or similar other program storage device.

Apparatus and method for calculating internal state for artificial emotion

An apparatus and method for calculating an internal state for artificial emotions are disclosed, of which the method comprises multiplying an input value obtained from a sensor with a first personality set in accordance with at least one low rank element contained in at least one high rank element of a NEO PI-R (Revised NEO Personality Inventory); calculating a personality factor value in a Five-Factor Model of the personality by adding the results of the multiplication; and calculating the internal state by multiplying the personality factor value with a second personality.

User Behavior Modeling for Intelligent Mobile Companions

An apparatus for modeling user behavior comprising at least one sensor for sensing a parameter, a memory, a processor coupled to the sensor and the memory, wherein the memory contains instructions that when executed by the processor cause the apparatus to collect a first data from the sensor, fuse the sensor data with a time element to obtain a context-feature, determine a first state based on the context-feature, record the first state in a state repository, wherein the state repository is configured to store a plurality of states such that the repository enables time-based pattern identification, and wherein each state corresponds to a user activity, incorporate information stored in the state repository into a behavior model, and predict an expected behavior based on the behavior model. 1. A mobile device for modeling user behavior comprising:at least one sensor for sensing a parameter;a memory;a processor coupled to the sensor and the memory, wherein the memory contains instructions that when executed by the processor cause the apparatus to:collect data from the sensor;fuse the data with a time element to obtain a context-feature;determine a first state based on the context-feature;record the first state in a state repository, wherein the state repository is configured to store a plurality of states such that the state repository enables time-based pattern identification, and wherein each state corresponds to a user activity;incorporate time-based pattern identification information into a behavior model; andpredict an expected user behavior based on the behavior model.2. The mobile device of claim 1 , wherein the sensor is a sensor for sensing geographic location claim 1 , a sensor for sensing physical motion claim 1 , or a sensor for sensing light claim 1 , sound claim 1 , or temperature.3. The mobile device of claim 1 , wherein fusing the data comprises utilizing a Kalman Filter approach claim 1 , a Bayesian algorithm claim 1 , or a Correlation regression.4. ...

System and methods using real-time predictive virtual 3d eye finite element modeling for simulation of ocular structure biomechanics

Disclosed are systems, devices and methods for performing simulations using a multi-component Finite Element Model (FEM) of ocular structures involved in ocular accommodation.

TECHNIQUE FOR EFFICIENT RETRIEVAL OF PERSONALITY DATA

A technique for enabling efficient retrieval of a digital representation of personality data of a user () by a client device () from a server () is disclosed, wherein the digital representation of the personality data is processed at the client device () to provide a user-adapted service to the user (). A method implementation of the technique is performed by the server () and comprises storing a neural network being trained to compute personality data of a user based on input obtained from the user (), receiving, from the client device (), a request for a digital representation of personality data for a user (), and sending, to the client device (), the requested digital representation of the personality data of the user (), wherein the personality data of the user is computed using the neural network based on input obtained from the user (). 1. A method including a retrieval of a digital representation of personality data of a user by a client device from a server , the method being performed by the server and comprising:storing a neural network trained to compute personality data of a user based on input obtained from the user;receiving, from the client device, a request for a digital representation of personality data for a user; andsending, to the client device, the requested digital representation of the personality data of the user, the digital representation of the personality data of the user being processed at the client device to provide a user-adapted service to the user, wherein the personality data of the user is computed using the neural network based on input obtained from the user,wherein the input obtained from the user corresponds to digital scores reflecting answers to questions regarding at least one of personality, goals and motivations of the user and wherein each digital score is used as input to a separate input node of the neural network when computing the personality data of the user using the neural network.2. The method of claim 1 , ...

ROBOT

A pet robot in a shape of an animal is provided. The pet robot may include a body, a first actuator provided in the body, a rotating body provided in the body and connected to the first actuator to rotate, a second actuator fastened to the rotating body, a thigh portion connected to the second actuator at an upper portion thereof to rotate, a third actuator fastened to a lower portion of the thigh portion, and a calf portion positioned at a lower side of the thigh portion and connected to the third actuator at an upper portion thereof to rotate. 1. A pet robot in a shape of an animal , the pet robot comprising:a torso member;a first actuator located in the torso member;a rotating body located in the torso member and connected to the first actuator to rotate about a first axis;a second actuator connected to the rotating body;a thigh member having an upper portion and a lower portion, the upper portion of the thigh member being connected to the second actuator to rotate about a second axis different from the first axis;a third actuator connected to the lower portion of the thigh member; anda calf member having an upper portion and a lower portion, the calf member being located at the lower portion of the thigh member, the upper portion of the calf member being connected to the third actuator to rotate about a third axis different from the second axis.2. The pet robot of claim 1 , wherein the thigh member includes an upper receiving portion open toward the rotating body to receive at least a part of the second actuator.3. The pet robot of claim 2 , wherein the thigh member includes a lower receiving portion located at a lower side of the upper receiving portion and open toward the torso member or a lower side of the torso member to receive a part of an upper portion of the third actuator.4. The pet robot of claim 1 , wherein the first axis is perpendicular to the second axis and parallel to the third axis.5. The pet robot of claim 1 , wherein the first axis is located ...

SYSTEM AND METHOD FOR GENERATING AND DISPLAYING AVATARS

Among other things, embodiments of the present disclosure provide systems and methods for modifying avatar components of avatar datasets for multiple users, generating avatars based on the datasets, and displaying multiple avatars on a display screen of a graphical user interface. 1. A system comprising:a processor;a graphical user interface coupled to the processor, the graphical user interface comprising an input device and a display screen; and receiving a first avatar dataset comprising a first plurality of avatar components associated with a first user;', 'modifying one or more of the first plurality of avatar components in the first avatar dataset to generate one or more modified first avatars components;', 'generating a first avatar based on the first avatar dataset;', 'generating one or more modified first avatars based on the one or more modified first avatars components, respectively; and', 'displaying the first avatar or the one or more modified first avatars on the display screen of the graphical user interface., 'memory coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform operations comprising2. The system of claim 1 , wherein the memory further stores instructions for causing the system to perform operations comprising:displaying a plurality of avatar components on the display screen of the graphical user interface;receiving via the input device of the graphical user interface a selection of the first plurality of avatar components from the plurality of displayed avatar components.3. The system of claim 1 , wherein one or more of the first plurality of avatar components includes one or more of: a category name claim 1 , a category type claim 1 , a gender claim 1 , a subcategory name claim 1 , and a state.4. The system of claim 1 , wherein receiving the first avatar dataset includes: retrieving claim 1 , from a computing device in communication with the system over a network claim 1 , the ...

ROBOTIC TRAINING APPARATUS AND METHODS

Apparatus and methods for training of robotic devices. Robotic devices may be trained by a user guiding the robot along target trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control commands based on one or more of the user guidance, sensory input, and/or performance measure. Training may comprise a plurality of trials. During first trial, the user input may be sufficient to cause the robot to complete the trajectory. During subsequent trials, the user and the robot's controller may collaborate so that user input may be reduced while the robot control may be increased. Individual contributions from the user and the robot controller during training may be may be inadequate (when used exclusively) to complete the task. Upon learning, user's knowledge may be transferred to the robot's controller to enable task execution in absence of subsequent inputs from the user 123.-. (canceled)24. A robotic apparatus , comprising:a platform comprising one or more controllable elements; anda controller communicatively coupled to the platform to operate individual ones of the one or more controllable elements, the controller configured to:receive a first input from a human;analyze the first input and cause the platform to execute a first action in accordance with the first input, wherein the analysis of the first input comprises a determination of a deviation between the first action and a target action; andreceive a second input from a human subsequent to the receipt of the first input, the second input being configured to cause a corrected action by the platform, the corrected action being characterized at least in part by a lower deviation from the target action.25. The robotic apparatus of claim 24 , wherein the first action is based on the operation of the individual ones of the one or more controllable elements of the platform.26. The robotic apparatus of claim 24 , wherein the first input and the second input are ...

Efficiency improvement for machine learning of vehicle control using traffic state estimation

A method of improving efficiency of a vehicle behavior controller using a traffic state estimation network is described. The method includes feeding an input of a feature extraction network of the vehicle behavior controller with a sequence of images. The sequence of images include a highway section and corresponding traffic data. The method also includes disentangling an estimated behavior of a controlled ego vehicle. by the traffic state estimation network. The traffic state estimate network disentangles the estimated of the controlled ego vehicle from extracted traffic state features of the input provided by the feature extraction network. The method further includes selecting an action to adjust an autonomous behavior of the controlled ego vehicle according to the estimated behavior of the controlled ego vehicle.

Agent trajectory prediction using anchor trajectories

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for agent trajectory prediction using anchor trajectories.

MISSION-BASED, GAME-IMPLEMENTED CYBER TRAINING SYSTEM AND METHOD

A mission-based cyber training platform allows both offensive and defensive oriented participants to test their skills in a game-based virtual environment against a live or virtual opponent. The system builds realistic virtual environments to perform the training in an isolated and controlled setting. Dynamic configuration supports unique missions using a combination of real and/or virtual machines, software resources, tools, and network components. Game engine behaves in a manner that will vary if participant attempts to replay a scenario based upon alternate options available to the engine. Scoring and leader boards are used to identify skill gaps/strengths and measure performance for each training participant. A detailed assessment of a player's performance is provided at the end of the mission and is stored in a user profile/training record. 1at least one student station comprising at least one processor, at least one video display and a user input device;a system server comprising at least one processor and a memory, said system server in communication at one or more times with said at least one student station;non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a game server which is configured to receive input from said at least one student station of a selected training mission;at least one database of cyber-threat mission sources stored in association with said system server;non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a virtual environment manager which is configured to, in response to a selected cyber-threat training mission indicated by said game server, generate a virtual cyber mission environment comprising one or more virtual elements comprising a virtual network, a virtual system, a virtual device and a virtual tool for use by said game server in implementing said selected cyber-threat training ...

Pattern detection of avatars in a virtual environment

Techniques are described for detecting script-controlled avatars in a virtual environment engaging in certain pattern formation behaviors. In particular, a virtual environment server may select a group of avatars and determine a pattern formed by the selected group. The virtual environment system may further search for a match of the pattern from a library of prohibited words or symbols. In the event the pattern formed by the selected avatars matches one of the prohibited patterns, some form of remedial action may be performed to disrupt the pattern.

USER-SPECIFIC TASK REMINDER ENGINE

Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use. 1. A computing system comprising:a processor; and (1) outputting for display a task reminder comprising a task that is derived from one or more unstructured communications by a task identification model;', '(2) receiving an instruction to dismiss the task reminder from a user;', '(3) outputting for display a feedback interface asking the user to select a reason for dismissing the task reminder;', '(4) receiving an input from the user providing a specific reason for dismissing the task reminder; and', '(5) communicating the specific reason to a model update component that retrains the task identification model using the specific reason as input to generate an updated task identification model., 'computer storage memory having computer-executable instructions stored thereon which, when executed by the processor, implement a method of generating a user-specific task reminder, the method comprising2. The system of claim 1 , wherein the task is a request made by the user in one or more of the unstructured communications.3. The system of claim 1 , wherein the one or more unstructured user communications include one or more of an email sent by the user claim 1 , an email received by the user claim 1 , a text sent by the user claim 1 , a text received by the user claim 1 , and a social post associated with the user.4. The system of claim 1 , wherein the task is a commitment made by the user in one or more of the unstructured communications.5. The system of claim 1 , wherein the task is a ...

Parallel belief space motion planner

A method for generating a movement policy includes determining a probability distribution function for multiples nodes of a roadmap and determining, in parallel, a cost and a collision probability for each edge of the roadmap. The method also includes generating the movement policy based on the probability distribution function, the cost, and the collision probability.

System and method for continual decoding of brain states to multi-degree-of-freedom control signals in hands free devices

A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.

MACHINE-LEARNING FOR STATE DETERMINATION AND PREDICTION

Without timely reminders, certain individuals may be highly unlikely to complete various tasks scheduled for completion. For example, medicinal therapy regimen patients often have difficulty in remembering to take their prescribed medications in accordance with care provider specified instructions. By providing a reminder prompt generation system that utilizes machine-learning and/or artificial intelligence to determine appropriate reminder times and modalities for providing automated-prompting notifications to users, the users' adherence to scheduled task completions can be significantly increased. 1. An apparatus comprising at least one processor and at least one memory including computer program code for one or more programs , the at least one memory and the computer program code configured to , with the at least one processor , cause the apparatus to perform at least the following:store a schedule comprising a task to be performed by a user;provide a first automated-prompting notification to the user to perform the task;determine that the user completed the task responsive to the first automated-prompting notification, wherein (a) a first state of the user and a first state of the user's environment are stored in association with the first automated-prompting notification, (b) the first state of the user, the first state of the user's environment, and the first automated-prompting notification are used to train a prompting model using machine learning, and (c) the prompting model outputs one or more automated-prompting notifications;detect a first input indicative of a context of an environment of the user;detect a first input indicative of a context of the user;determine, based at least in part on the first input indicative of the context of the environment of the user and the first input indicative of the context of the user, a second state of the user and a second state of the user's environment;determine, based at least in part on the second state of the ...

METHOD AND SYSTEM FOR GENERATING A CONVERSATIONAL AGENT BY AUTOMATIC PARAPHRASE GENERATION BASED ON MACHINE TRANSLATION

The present teaching relates to generating a conversational agent. In one example, a plurality of input utterances may be received from a developer. A paraphrase model is obtained. The paraphrase model is generated based on machine translation. For each of the plurality of input utterances, one or more paraphrases of the input utterance are generated based on the paraphrase model. For each of the plurality of input utterances, at least one of the one or more paraphrases is selected based on an instruction from the developer to generate selected paraphrases. The conversational agent is generated based on the plurality of input utterances and the selected paraphrases. 1. A method , implemented on a machine having at least one processor , storage , and a communication platform connected to a network for generating a conversational agent , the method comprising:obtaining, based on a paraphrase model, one or more paraphrases for each of a plurality of input utterances;selecting at least one of the one or more paraphrases for each input utterance based on an intent of the input utterance to generate selected paraphrases; andgenerating a conversational agent based on the plurality of input utterances and the selected paraphrases.2. The method of claim 1 , further comprising:obtaining aggregated training data based on stored user-agent dialogs, the at least one of the one or more paraphrases, or the stored user-agent dialogs and the at least one of the one or more paraphrases.3. The method of claim 2 , further comprising:selecting, based on the aggregated training data, the paraphrase model from a plurality of paraphrase models.4. The method of claim 3 , wherein a plurality of N-grams features are generated from the aggregated training data claim 3 , selecting the paraphrase model comprises:determining, based on the plurality of N-grams, that the aggregated training data comprises new training data related to the paraphrase model, wherein the paraphrase model is updated ...

Intelligent multi-scale medical image landmark detection

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

TRANSFERRING AN AUTOMATED ASSISTANT ROUTINE BETWEEN CLIENT DEVICES DURING EXECUTION OF THE ROUTINE

Transferring (e.g., automatically) an automated assistant routine between client devices during execution of the automated assistant routine. The automated assistant routine can correspond to a set of actions to be performed by one or more agents and/or one or more devices. While content, corresponding to an action of the routine, is being rendered at a particular device, the user may walk away from the particular device and toward a separate device. The automated assistant routine can be automatically transferred in response, and the separate device can continue to rendering the content for the user. 1. A method implemented by one or more processors , the method comprising:receiving, at a remote server device, data transmitted from a first client device;determining, at the remote server device, that the data corresponds to a request for initialization of an automated assistant routine that corresponds to a set of automated assistant actions;in response to determining that the data corresponds to the request, generating, at the remote server device, content for an action of the set of automated assistant actions; 'transmitting the content for the action to the first client device to cause the first client device to render the content for the action;', 'in response to the data that corresponds to the request for initialization of the automated assistant routine being received from the first client devicedetermining, at the remote server device during rendering of the content for the action by the first client device, that a user has directly or indirectly indicated an interest in the automated assistant routine being continued at a second client device; and 'rendering, at the second client device, additional data that is in furtherance of the automated assistant routine.', 'in response to determining that the user has indicated the interest in the automated assistant routine being continued at the second client device2. The method of claim 1 , wherein in response to ...

ARTIFICIAL INTELLIGENCE-ENABLED DEVICE FOR NETWORK CONNECTIVITY INDEPENDENT DELIVERY OF CONSUMABLE INFORMATION

An artificial intelligence-enabled device that handles delivery of user consumable information independent of network connectivity of the AI-enabled device, includes a memory and neural circuitry. The neural circuitry allocates a dedicated cache storage and determines a type of intelligent service on the AI-enabled device, for which first information is to be cached at the dedicated cache storage. The neural circuitry caches first information from a cloud server to a local sub-cache in the dedicated cache storage. The first information of the determined type of service is adaptively cached during at least one of a background activity or a foreground activity of the AI-enabled device, in accordance with an offline state or an online state of the AI-enabled device. The neural circuitry further controls delivery of user consumable information, based on a user input, on the AI-enabled device, based on the local sub-cache and supplemental information retrievable from the cloud server. 1. An artificial intelligence (AI)-enabled device , comprising:a memory configured to store instructions associated with a plurality of intelligent services that operates in the AI-enabled device, a set of user preferences, network connectivity information of the AI-enabled device, first usage information of the plurality of intelligent services, and second usage information of the AI-enabled device; and allocate a dedicated cache storage for the plurality of intelligent services;', 'generate a local AI learning model associated with the AI-enabled device, wherein the local AI learning model is generated based on the set of user preferences, the network connectivity information of the AI-enabled device, and the first usage information of the plurality of intelligent services;', 'determine a type of service, associated with at least one of the plurality of intelligent services, first information for which is to be cached at the dedicated cache storage, based on the generated local AI ...

ARTIFICIAL INTELLIGENCE ASSISTED CONTENT AUTHORING FOR AUTOMATED AGENTS

Systems and devices to perform content authoring and establish conversation models for automated agents such as chatbots and virtual assistants are disclosed. In an example, operations for content authoring, to produce a conversation model, include: identifying respective intents from conversation segments in an unstructured data source; generating a knowledge graph of the conversation model to organize the identified intents; linking the intents in the knowledge graph to properties of the respective conversations, for properties used to guide a subject conversation with the conversation model; and outputting the conversation model, to be usable with the automated agent to conduct the subject conversation with a human user. In further examples, the operations include defining trigger phrases, solutions, and constraints corresponding to the respective intents, such that subsequent use of the knowledge graph by the conversation model directs the subject conversation based on an intent expressed in the subject conversation. 1. A computing device , comprising:a processor; and identifying respective intents from conversation segments in an unstructured data source;', 'generating a knowledge graph of the conversation model to organize the identified intents, the knowledge graph structured to associate respective conversations with the respective intents;', 'linking the respective intents in the knowledge graph to properties of the respective conversations, the properties used to guide a subject conversation with the conversation model, wherein the properties include trigger phrases, solutions, and constraints corresponding to the respective intents; and', 'outputting the conversation model, the conversation model usable with the automated agent to conduct the subject conversation with a human user, wherein subsequent use of the knowledge graph by the conversation model directs the subject conversation based on an intent expressed in the subject conversation., 'a memory ...

OFFTRACK VIRTUAL AGENT INTERACTION SESSION DETECTION

Generally discussed herein are devices, systems, and methods for detecting a conversation with a virtual agent is offtrack and responding appropriately. A method can include receiving a prompt, expected responses to the prompt, and a response of an interaction session with the virtual agent, the interaction session to solve a problem of a user, determining whether the response indicates the interaction session is in an offtrack state based on the prompt, expected responses, and response, in response to a determination that the interaction session is in the offtrack state, determining a taxonomy of the offtrack state, and providing, based on the determined taxonomy, a next prompt to the interaction session. 1. A system comprising:a virtual agent interface device to provide an interaction session in a user interface with a human user, the interaction session regarding a problem to be solved by a user; receive a prompt, expected responses to the prompt, and a response of the interaction session;', 'determine whether the response indicates the interaction session is in an offtrack state based on the prompt, expected responses, and response;', 'in response to a determination that the interaction session is in the offtrack state, determine a taxonomy of the offtrack state; and', 'provide, based on the determined taxonomy, a next prompt to the interaction session., 'processing circuitry in operation with the virtual agent interface device to2. The system of claim 1 , wherein the processing circuitry is configured to implement a plurality of models claim 1 , wherein each of the models is configured to produce a score indicating a likelihood that a different taxonomy of the taxonomies applies to the prompt claim 1 , expected responses claim 1 , and response.3. The system of claim 1 , wherein the processing circuitry is further to receive context data indicating a number of prompts and responses previously presented in the interaction session and the prompts and responses ...

Automatically assigning hybrids or seeds to fields for planting

Techniques are provided for automatically assigning hybrid products or seed products to agricultural fields with optimal yield performance. In one embodiment, a computer-implemented method comprises using field assignment instructions in the server computer system, receiving, over a digital data communication network at a server computer system, grower datasets specifying agricultural fields of growers and inventories of hybrid products or seed products of the growers; using the field assignment instructions in the server computer system, obtaining over the digital data communication network at the server computer system, other input data comprising relative maturity values, historic yield values for the fields of the growers, and mean yield values for regions in which the fields of the growers are located; using the field assignment instructions in the server computer system, calculating pair datasets consisting of permutations of product assignments of two (2) products to two (2) fields from among the fields of the growers, and corresponding converse assignments of the same products and fields; inputting specified features of the pair dataset(s) to a trained machine learning model, to yield predicted POS values for each of the product assignments and its corresponding converse assignment; blending the predicted POS values for all fields with field classification data using an operations research model of other field data, to result in creating and storing score values for each of the product assignments and the corresponding converse assignments; using the field assignment instructions in the server computer system, generating and causing displaying at least the product assignments in a graphical user interface display of a client computing device.

System and method for automated agent assistance within a cloud-based contact center

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

System and method for automated scheduling using agent assist within a cloud-based contact center

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

SYSTEM AND METHOD FOR COMMUNICATION ANALYSIS FOR USE WITH AGENT ASSIST WITHIN A CLOUD-BASED CONTACT CENTER

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing. 1. A method , comprising:receiving a communication from a customer;automatically analyzing the communication to determine a subject of the customer's communication;automatically querying a database of communications between other customers and other agents related to the subject of the customer's communication;determining at least one responsive answer to the subject from the database; andproviding the at least one responsive answer to an agent during the communication with the customer.2. The method of claim 1 , further comprising populating the database with information about the communications claim 1 , wherein information includes at least one of a time of the other communication claim 1 , a duration of the origination claim 1 , a topic of the other communication claim 1 , a frequency of words in the other communication.3. The method of claim 1 , wherein the communication is in textual form claim 1 , the method further comprising:displaying text input by the customer in a first field of a unified interface;parsing the text input by the customer for key terms;querying the knowledgebase using the key terms; anddisplaying responsive results from the knowledgebase as the solution in a second field in the unified interface.41. The method of claim 1 , further comprising:querying a customer relationship management (CRM) platform/a customer service management (CSM) platform using the key terms; anddisplaying responsive results from the CRM/CSM in the second field in the unified interface.5. The method of claim 1 , further comprising: ...

SYSTEM AND METHOD FOR COMMUNICATION ANALYSIS FOR USE WITH AGENT ASSIST WITHIN A CLOUD-BASED CONTACT CENTER

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing. 1. A method , comprising:executing an automation infrastructure within a cloud-based contact center that includes a communication manager, speech-to-text converter, a natural language processor, and an inference processor exposed by application programming interfaces; andexecuting an agent assist functionality within the automation infrastructure that performs operations comprising:receiving a communication from a customer;automatically analyzing the communication to determine a subject of the customer's communication;automatically querying a database of communications between other customers and other agents related to the subject of the customer's communication;determining at least one responsive answer to the subject from the database; andproviding the at least one responsive answer to an agent during the communication with the customer.2. The method of claim 1 , further comprising populating the database with information about the communications claim 1 , wherein information includes at least one of a time of the other communication claim 1 , a duration of the origination claim 1 , a topic of the other communication claim 1 , a frequency of words in the other communication.3. The method of claim 1 , wherein the communication is in textual form claim 1 , the method further comprising:displaying text input by the customer in a first field of a unified interface;parsing the text input by the customer for key terms;querying the knowledgebase using the key terms; anddisplaying responsive results from the knowledgebase as the solution in ...

METHODS AND SYSTEMS FOR IMPROVING CARE THROUGH POST-OPERATION FEEDBACK ANALYSIS

Methods and apparatus providing a patient digital twin are disclosed. An example apparatus including an example patient digital twin includes a data structure created from a combination of patient electronic medical record data and historical information, the combination extracted from information system(s) and arranged in the data structure to form a digital representation of the patient. The example patient digital twin is arranged for query and simulation. The example patient digital twin is to receive feedback regarding the patient following a procedure conducted on the patient. The example patient digital twin is to incorporate the feedback into the patient digital twin when elements for the procedure have been completed. The example patient digital twin is to process the incorporated feedback to generate and output a recommendation for follow-up with respect to the patient based on the digital representation of the patient including the incorporated feedback with respect to the procedure conducted. 1. An apparatus comprising:a processor and a memory, the processor to configure the memory according to a patient digital twin of a first patient, the patient digital twin including a data structure created from a combination of patient electronic medical record data and historical information, the combination extracted from one or more information systems and arranged in the data structure to form a digital representation of the first patient, the patient digital twin arranged for query and simulation via the processor,the patient digital twin to receive feedback regarding the first patient following a procedure conducted on the first patient, the patient digital twin to incorporate the feedback into the patient digital twin when elements for the procedure have been completed, the patient digital twin to process the incorporated feedback to generate and output a recommendation for follow-up with respect to the first patient based on the digital representation of ...

SYSTEM AND METHOD FOR MULTI-STAGE BRAIN-COMPUTER INTERFACE TRAINING USING NEURAL NETWORKS

A system and method for a multi-stage brain-computer interface training using neural networks that reliably and predictably maps a user's thoughts to particular movements or actions in a computer-generated environment. The system comprises two stages: a pre-training stage, wherein specific exercises are generated on screen, and the brain activity is mapped to the exercises using a neural network as the user attempts to complete the exercises, and an in-use stage, wherein an initial mapping profile is loaded, brain activity is mapped to in-use interactions using a neural network, and those in-use mappings are compared to a library of stored mappings using a neural network to select a more accurate mapping for use in a given situation. 1. A system for multi-stage brain-computer interface training and profile configuration selection , comprising:one or more brain activity sensors;a neural network configured to identify patterns of brain activity corresponding to intended movements in virtual reality environments; display one or more computer-related training exercises to a user, each training exercise comprising a first virtual reality environment, a human avatar, and a task for the human avatar to perform in the first virtual reality environment;', 'prompt the user to attempt to complete the task using the avatar in the first virtual reality environment while physically mimicking the same movements in the real world;', 'prompt the user to repeat the attempt to complete the task using the avatar in the virtual reality environment without physically mimicking the same movements in the real world;', 'record brain activity from the one or more brain activity sensors while the user completes the training exercises;', "use the neural network to compare the user's brain activity recorded while completing the training exercises with physical movement to the user's brain activity recorded while completing the training exercises without movement to identify patterns of recorded ...

NATURAL LANGUAGE UNIFICATION BASED ROBOTIC AGENT CONTROL

In some examples, natural language unification based robotic agent control may include ascertaining, by a robotic agent, an image of an object or an environment, and ascertaining a plurality of natural language insights for the image. A semantic relatedness may be determined between each insight of the plurality of insights, and a semantic relatedness graph may be generated for the plurality of insights. For each insight of the plurality of insights, at least one central concept may be identified. Based on the semantic relatedness graph and the identified at least one central concept, the plurality of insights may be clustered to generate at least one insights cluster. For insights included in the least one insights cluster, a unified insight may be generated. Further, an operation associated with the robotic agent, the object, or the environment may be controlled by the robotic agent and based on the unified insight. 1. A natural language unification based robotic agent control apparatus comprising: ascertain, by a robotic agent, an image of an object or an environment, and', 'ascertain a plurality of natural language insights for the image;, 'an insight analyzer, executed by at least one hardware processor, to'} 'determine semantic relatedness between each insight of the plurality of insights;', 'a semantic relatedness analyzer, executed by the at least one hardware processor, to'} 'generate, based on the determined semantic relatedness, a semantic relatedness graph for the plurality of insights;', 'a semantic relatedness graph generator, executed by the at least one hardware processor, to'} 'identify, for each insight of the plurality of insights, at least one central concept;', 'a central concepts identifier, executed by the at least one hardware processor, to'} 'cluster, based on the semantic relatedness graph and the identified at least one central concept, the plurality of insights to generate at least one insights cluster;', 'an insights cluster generator, ...

NATURAL LANGUAGE EMINENCE BASED ROBOTIC AGENT CONTROL

In some examples, natural language eminence based robotic agent control may include ascertaining, by a robotic agent, an image of an object or an environment, and ascertaining a plurality of natural language insights for the image. For each insight of the plurality of insights, an eminence score may be generated, and each insight of the plurality of insights may be ranked according to the eminence scores. An operation associated with the robotic agent, the object, or the environment may be controlled by the robotic agent and based on a highest ranked insight. 1. A natural language eminence based robotic agent control apparatus comprising: ascertain, by a robotic agent, an image of an object or an environment, and', 'ascertain a plurality of natural language insights for the image;, 'an insight analyzer, executed by at least one hardware processor, to'} generate, for each insight of the plurality of insights, an eminence score, and', 'rank each insight of the plurality of insights according to the eminence scores; and, 'an eminence score generator, executed by the at least one hardware processor, to'} 'control, by the robotic agent and based on a highest ranked insight, an operation associated with the robotic agent, the object, or the environment.', 'a robotic agent controller, executed by the at least one hardware processor, to'}2. The apparatus according to claim 1 , wherein the eminence score generator is to generate claim 1 , for each insight of the plurality of insights claim 1 , the eminence score by: determining, by a semantic relatedness analyzer that is executed by the at least one hardware processor, semantic relatedness between each insight of the plurality of insights,', 'generating, based on the semantic relatedness between each insight of the plurality of insights, a semantic relatedness graph, wherein each node of the semantic relatedness graph represents an insight of the plurality of insights, and', 'determining, for each node of the semantic ...

Interactive Avatar for Social Network Services

An embodiment is an avatar or avatar environment to visualize data within an athletic performance system or service and/or a social network system or service, for example as part of the Internet. The avatar may further evolve or alter its appearance, animation, or other visual or audio characteristics in response to the data or other input. In particular, the avatar of an embodiment may respond to and provide visualization of athletic or sport performance data. According to one or more aspects, an avatar may be placed on other network sites and updated based on athletic performance data. The avatar may be awarded for goals achieved by a user. The awards or gifts may further include non-avatar related items such as apparel, gift cards and the like. 1. A method comprising:receiving, by a computing system, a request to initiate a competition between at least a first user and a second user;generating, by the computing system, a first electronic avatar corresponding to the first user;generating, by the computing system, a second electronic avatar corresponding to the second user;displaying, by the computing system, the first electronic avatar at a first location and the second electronic avatar at a second location in an interface of the computing system;receiving, by the computing system, athletic performance data for the first user from a first athletic monitoring system and athletic performance data for the second user from a second athletic monitoring system; andmodifying, by the computing system, at least one of the first and second locations of the first and second electronic avatars in the interface in accordance with the athletic performance data received from the first athletic monitoring system and from the second athletic monitoring system, wherein the first and second locations of the first and second electronic avatars indicate a level of progress towards a goal of the competition.2. The method of claim 1 , wherein a relative position of the first electronic ...

INQUIRY-BASED DEEP LEARNING

Systems and methods are disclosed for inquiry-based deep learning. In one implementation, a first content segment is selected from a body of content. The content segment includes a first content element. The first content segment is compared to a second content segment to identify a content element present in the first content segment that is not present in the second content segment. Based on an identification of the content element present in the first content segment that is not present in the second content segment, the content element is stored in a session memory. A first question is generated based on the first content segment. The session memory is processed to compute an answer to the first question. An action is initiated based on the answer. Using deep learning, content segments can be encoded into memory. Incremental questioning can serve to focus various deep learning operations on certain content segments. 1. A system comprising:a processing device; and selecting a first content segment from a body of content, the content segment comprising a first content element;', 'comparing the first content segment to a second content segment to identify a content element present in the first content segment that is not present in the second content segment;', 'based on an identification of the content element present in the first content segment that is not present in the second content segment, storing the identified content element in a session memory;', 'generating a first question based on the first content segment;', 'processing the session memory to compute an answer to the first question; and', 'initiating an action based on the answer., 'a memory coupled to the processing device and storing instructions that, when executed by the processing device, cause the system to perform operations comprising2. The system of claim 1 , wherein generating the first question comprises removing at least one content element from the first content segment.3. The system of ...

System and method for speech-enabled automated agent assistance within a cloud-based contact center

Methods to reduce agent effort and improve customer experience quality through artificial intelligence. The Agent Assist tool provides contact centers with an innovative tool designed to reduce agent effort, improve quality and reduce costs by minimizing search and data entry tasks The Agent Assist tool is natively built and fully unified within the agent interface while keeping all data internally protected from third-party sharing.

MISSION-BASED, GAME-IMPLEMENTED CYBER TRAINING SYSTEM AND METHOD

A mission-based cyber training platform allows both offensive and defensive oriented participants to test their skills in a game-based virtual environment against a live or virtual opponent. The system builds realistic virtual environments to perform the training in an isolated and controlled setting. Dynamic configuration supports unique missions using a combination of real and/or virtual machines, software resources, tools, and network components. Game engine behaves in a manner that will vary if participant attempts to replay a scenario based upon alternate options available to the engine. Scoring and leader boards are used to identify skill gaps/strengths and measure performance for each training participant. A detailed assessment of a player's performance is provided at the end of the mission and is stored in a user profile/training record. 1. A system for providing mission-based game-style cyber-threat training to at least one student against a cyber-threat artificial intelligence opponent comprising:at least one student station comprising a processor, a video display and a user input device;a system server comprising at least one processor and a memory, said system server in communication at one or more times with said at least one student station;non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a game server;non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a virtual event manager which is configured to generate a virtual cyber mission environment comprising one or more virtual elements comprising a virtual network, a virtual system, and a virtual device for use by said game server in implementing a cyber-threat training mission as a game;said game server configured to cause said at least one student station to display information regarding said virtual mission environment to said at least one student and ...

Recording events in a virtual world

Systems, methods and articles of manufacture are disclosed for recording events occurring in a virtual world. In one embodiment, properties of events previously recorded and/or attended by a user may be identified. Recording criteria for the user may be derived from the identified properties. Upon identifying an event satisfying the recording criteria, the event may be recorded. The recorded event may be played back at the convenience of the user.

Orthogonal protein heterodimers

Disclosed herein are designed heterodimer proteins, monomeric polypeptides capable of forming heterodimer proteins, protein scaffolds including such polypeptides, and methods for using the heterodimer proteins and subunit polypeptides for designing logic gates.

Controlling robots using entropy constraints

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a policy neural network having policy parameters. One of the methods includes obtaining trajectory data comprising one or more tuples; updating, using the trajectory data, current values of the policy parameters using a maximum entropy reinforcement learning technique that maximizes both (i) a reward term and (ii) an entropy term, wherein a relative weight between the entropy term and the reward term in the maximization is determined by a temperature parameter; and updating, using the probability distributions defined by the policy outputs generated in accordance with the current values of the policy parameters for the tuples in the trajectory data, the temperature parameter to regulate an expected entropy of the probability distributions to at least equal a minimum expected entropy value.

Video recommendation with multi-gate mixture of experts soft actor critic

Described herein are embodiments of a reinforcement learning based large-scale multi-objective ranking system. Embodiments of the system may be used for optimizing short-video recommendation on a video sharing platform. Multiple competing ranking objective and implicit selection bias in user feedback are the main challenges in real-world platform. In order to address those challenges, multi-gate mixture of experts (MMoE) and soft actor critic (SAC) are integrated together into a MMoE_SAC system. Experiment results demonstrate that embodiments of the MMoE_SAC system may greatly reduce a loss function compared to systems only based on single strategies.

Systems, methods, and media for artificial intelligence process control in additive manufacturing

Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.

Electric vehicle charging scheduling method and system based on cloud-edge collaboration

The invention provided an electric vehicle charging scheduling method, apparatus and system based on cloud-edge collaboration, a storage medium and an electronic device. In the present invention, a charging request of an electric vehicle user is accepted and processed by an edge computing unit, and a target charging station for a to-be-charged electric vehicle is determined with a minimum traveling cost as a target, so that a data transmission distance is reduced, and the electric vehicle user is timely assisted in selecting the target charging station and completing a charging appointment. After the charging appointment is made, charging data is uploaded to a charging optimization scheduling model pre-trained by a cloud platform for obtaining an electric vehicle charging scheduling strategy, so that powerful cloud platform computing abilities and rapid response advantages of the edge computing unit are fully utilized, the problem of network congestion is avoided, and timeliness is improved.

Method, Machine Readable Medium, Device, and Vehicle For Determining a Route Connecting a Plurality of Destinations in a Road Network, Method, Machine Readable Medium, and Device For Training a Machine Learning Module

Embodiments provide a method, a machine readable medium, a device and a vehicle for determining a route connecting a plurality of destinations in a road network, and a method, a machine readable medium and a device for training a machine learning module for determining a route connecting a plurality of destinations in a road network. The method for determining a route connecting a plurality of destinations in a road network comprises receiving input information, which comprises information on distances between the plurality of destinations in the road network. The method further comprises inputting the input information on the distances into a trained machine learning module and providing output information on the route connecting the plurality of destinations based on an output of the trained machine learning module.

Building control system using reinforcement learning

A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.

ONLINE HYPERPARAMETER TUNING IN DISTRIBUTED MACHINE LEARNING

The disclosed embodiments provide a system for performing online hyperparameter tuning in distributed machine learning. During operation, the system uses input data for a first set of versions of a statistical model for a set of entities to calculate a batch of performance metrics for the first set of versions. Next, the system applies an optimization technique to the batch to produce updates to a set of hyperparameters for the statistical model. The system then uses the updates to modulate the execution of a second set of versions of the statistical model for the set of entities. When a new entity is added to the set of entities, the system updates the set of hyperparameters with a new dimension for the new entity. 120-. (canceled)21. A method , comprising:sending a first version of a global statistical model, including hyperparameter values and values of other parameters that are not hyperparameters, to a plurality of local model trainers that are each configured to train a local version of the global statistical model;wherein the hyperparameter values include regularization values that are each associated with one of the local versions of the global statistical model and correspond to a level of tuning for a respective entity of a plurality of different entities;receiving, from the plurality of local model trainers, a plurality of local model performance metrics that correspond to user feedback on outputs produced by the local versions of the global statistical model;updating the hyperparameter values based on the received plurality of local model performance metrics;including the updated hyperparameter values in a second version of the global statistical model; andsending the second version of the global statistical model, including the updated hyperparameter values, to the plurality of local model trainers;wherein the updated hyperparameter values include updated regularization values that each correspond to a change in the level of tuning for the respective ...

Secure Intelligent Networked Architecture Including an Asymmetric Parallel Processing Appliance

Provided herein are exemplary systems and methods including the generation of a superior strategy for deployment to real time actual conditions with dynamic feedback to the secure intelligent networked architecture in order for adjustments to be made to the strategy being deployed to the real time actual conditions and the learned generation of subsequent strategies. 1. A secure intelligent networked architecture with dynamic feedback comprising:an asymmetric parallel processing appliance, the asymmetric parallel processing appliance having asymmetric parallel processing architecture and a two-tiered data processing system; anda secure intelligent agent communicatively coupled to the asymmetric parallel processing appliance, the secure intelligent agent being configured to adjust an activation signal of a quantification tokenized data cluster structure on the asymmetric parallel processing appliance.2. The secure intelligent networked architecture with dynamic feedback of further comprising:the asymmetric parallel processing appliance configured to generate a grouping of a plurality of autonomous data structures in a data cluster structure.3. The secure intelligent networked architecture with dynamic feedback of further comprising:a secure GPU communicatively coupled to the asymmetric parallel processing appliance;wherein the asymmetric parallel processing appliance is configured to transmit the data cluster structure to the secure GPU.4. The secure intelligent networked architecture with dynamic feedback of further comprising:wherein the secure GPU is configured to react the data cluster structure to a historical condition to establish a performance metric.5. The secure intelligent networked architecture with dynamic feedback of further comprising:wherein the secure GPU is configured to determine a variability of a current condition.6. The secure intelligent networked architecture with dynamic feedback of further comprising:wherein the secure GPU is configured to ...

System for cognitive resource identification using swarm intelligence

Systems, computer program products, and methods are described herein for cognitive resource identification using swarm intelligence. The present invention is configured to receive one or more resource requirements; receive metadata associated with one or more resources; generate a superimposed unified resource ontological (URO) graph based on at least the resource requirements and the metadata associated with the resources; initiate an ant colony optimization (ACO) algorithm on the superimposed URO graph; generate, using the ACO algorithm, one or more primary resource selection parameters; initiate a fuzzy resource selection engine on the primary resource selection parameters; determine the resources in a descending order of applicability for the resource requirements; and transmit control signals configured to cause the computing device of the user to display the resources in the descending order of applicability to the resource requirements.

COMPUTER SECURITY BASED ON ARTIFICIAL INTELLIGENCE

COMPUTER SECURITY SYSTEM BASED ON ARTIFICIAL INTELLIGENCE includes Critical Infrastructure Protection & Retribution (CIPR) through Cloud & Tiered Information Security (CTIS), Machine Clandestine Intelligence (MACINT) & Retribution through Covert Operations in Cyberspace, Logically Inferred Zero-database A-priori Realtime Defense (LIZARD), Critical Thinking Memory & Perception (CTMP), Lexical Objectivity Mining (LOM), Linear Atomic Quantum Information Transfer (LAQIT) and Universal BCHAIN Everything Connections (UBEC) system with Base Connection Harmonization Attaching Integrated Nodes. 176.-. (canceled)77. A Lexical Objectivity Mining (LOM) having a memory and a processor that is coupled to the memory , wherein the LOM comprises:a) Initial Query reasoning (IQR), to which a question is transferred, and which leverages Central Knowledge Retention (CKR) to decipher missing details that are crucial in understanding and answering/responding to the question;b) Survey Clarification (SC), to which the question and supplemental query data is transferred, and which receives input from and send output to a human subject, and forms Clarified Question/Assertion;c) Assertion Construction (AC), which receives a proposition in the form of an assertion or question and provides output of the concepts related to such proposition;d) Response Presentation, which is an interface for presenting a conclusion drawn by AC to both Human Subject and Rational Appeal (RA);e) Hierarchical Mapping (HM), which maps associated concepts to find corroboration or conflict in Question/Assertion consistency, and calculates the benefits and risks of having a certain stance on a topic;f) Central Knowledge Retention (CKR), which is a main database for referencing knowledge for LOM;g) Knowledge Validation (KV), which receives high confidence and pre-criticized knowledge which needs to be logically separated for query capability and assimilation into the CKR;h) Accept Response, which is a choice given to the ...

VIRTUAL GUIDE

A personal virtual agent for journey planning for a user of a vehicle, having a central processing unit, a user interface device for communication with at least one user-specific information memory, a vehicle interface device for communication with at least one vehicle-specific information memory, and a route interface device for communication with at least one information memory for routes. The central processing unit is embodied to take into consideration information from the user-specific information memory and/or information from the vehicle-specific information memory (to receive at least one route from the information memory for routes, and to take into consideration the information from the user-specific information memory and the information from the vehicle-specific information memory to select a route. 1. A personal virtual agent for journey planning for a user of a vehicle , the personal virtual agent comprising:a central processing unit,a user interface device configured for communication with at least one user-specific information memory,a vehicle interface device configured for communication with at least one vehicle-specific information memory,a route interface device configured for communication with at least one information memory for routes,whereinthe central processing unit is configured (i) to take into consideration information from the user-specific information memory and/or information from the vehicle-specific information memory in order to receive at least one route from the user-specific and/or vehicle-specific information memory for routes, and (ii) to take into consideration the information from the user-specific information memory and the information from the vehicle-specific information memory to select an ultimate route.2. The personal virtual agent as claimed in claim 1 , wherein the personal virtual agent has a communication interface device for communication with at least one voice control module.3. The personal virtual agent as ...

ENABLING AN IM USER TO NAVIGATE A VIRTUAL WORLD

A user is enabled to interact with a virtual world environment using an instant messenger application by enabling a user to enter the virtual world environment using the instant messenger application that includes an instant messaging (IM) user interface, generating and managing an avatar to represent the user in the virtual world environment, monitoring a sub-portion of the virtual world environment corresponding to a current location of the user in the virtual world environment, determining descriptions of activities taking place in the sub-portion of the virtual world environment based on the monitoring, and providing the user with the determined descriptions of activities taking place in the sub-portion of the virtual world environment via the IM user interface. 119.-. (canceled)20. A computer-implemented method for enabling electronic communications between users , the method comprising the following operations performed by at least one processor:enabling a first user to navigate a first environment by controlling a representation of the first user in the first environment;capturing a first paralinguistic indicator made by the first user, the first paralinguistic indicator configured for communications in the first environment and reflecting at least one of a facial expression or gesture;translating the first paralinguistic indicator into a message configured for text-based communications in a second environment, the message comprising at least one of a text description of the at least one facial expression or gesture indicated by the first paralinguistic indicator and a second paralinguistic indicator configured for communications in the second environment, the second paralinguistic indicator comprising a graphical object and being different from the first paralinguistic indicator; andproviding the message to a second user.21. The computer-implemented method of claim 20 , the method further comprising the following operation performed by the at least one ...

PREDICTIVE VISUAL AND VERBAL MENTORING

Embodiments described herein are directed to providing contextually relevant cues to users and to providing cues based on predicted conditions. In one scenario, a computer system identifies a task that is to be performed by a user. The computer system accesses data structures to identify current conditions related to the identified task. The computer system then generates, based on the identified current conditions related to the task, contextually relevant cues for the task. The contextually relevant cues provide suggestive information associated with the task. The computer system further provides the generated cue to the user. In other scenarios, the computer system identifies anticipated conditions related to the task using accessed historical information, and generates contextually relevant cues based on the identified anticipated conditions. 1. A method , implemented at a computer system that includes at least one hardware processor , for providing contextually relevant cues to a user , the method comprising:identifying a task that is to be performed by the user;accessing one or more data structures to identify one or more current conditions related to the identified task;generating, based on the identified current conditions related to the task, one or more contextually relevant cues for the task, the contextually relevant cues providing suggestive information associated with the task;providing the generated cue to the user.2. The method of claim 1 , further comprising providing one or more sub-tasks or suggestions associated with the generated cue that provide information indicating how the task is to be performed.3. The method of claim 1 , wherein the generated cue is provided to a driver of a vehicle claim 1 , and wherein the cue is a brief claim 1 , highly relevant verbal cue that tells the driver to perform a specific task prior to driving or while driving.4. The method of claim 3 , wherein the brief claim 3 , highly relevant verbal cue is reproduced ...

Robotic Conductor of Business Operations Software

This invention relates to non-mechanical robotic software for conducting, dictating and monitoring day-to-day regular activities of business operations of an organisation being automated by adaptation of principle of servomechanism closed loop feedback control system of engineering. A “Business Operation” is defined as a sequence of particular order in which related structured activities that serve a particular business goal follow each other, and structured activities are processes and events. The control system operates in real time and automatic generation of feedback for identifying next activity to be conducted is enabled by an innovative data driven automatic generation of feedback technique. This closed loop feedback control system continues conducting activities of all occurrences of business operations automatically until a feedback identifies a terminator activity of a particular occurrence marking completion of conducting that occurrence. 1. An automated non-mechanical robotic software for business system that operates in real time for conducting day-to-day regular business activities of business operations of an organisation comprising: [ [ a process in said business operation is defined as a method of the stages involved in performing a certain business procedure,', 'an event in said business operation is defined as a happening of importance or outcome of said process in the course of said business operation, and', 'hereinafter the term business activity will collectively mean overall business activity of business operation and also two related business activities of said process and said event,', 'whereas the aforesaid two related business activities of said process and said event hereinafter may be collectively referred to as activity or activities to mean process or event or both;, 'said related structured business activities conducted by said software are of two types, one type is process and the other type is event, and these two types of business ...

Method and system for providing sales information and insights through a conversational interface

A method and system are described that provide responses to natural language queries regarding the performance of a business. The method and system processes data from multiple data sources including information generated by the business and analyzes the data to provide actionable suggestions as to how to determine how to improve the performance of the business. The use of natural language queries allows for a merchant without a business intelligence background obtain these insights easily.

PROVIDING A FIRST PERSON VIEW IN A VIRTUAL WORLD USING A LENS

An interactive virtual world having avatars. Scenes in the virtual world as seen by the eyes of the avatars are presented on user devices controlling the avatars. In one approach, a method includes identifying a location of an avatar in a virtual world, and a point of gaze of the avatar; adjusting, based on the point of gaze, a lens that directs available light received by the lens so that the lens can focus on objects at all distances; collecting, using the adjusted lens, image data; and generating a scene of the virtual world as seen by the avatar, the scene based on the collected image data, the location of the avatar, and the point of gaze of the avatar. 1. A method , comprising:adjusting, by a computing device, a location of an avatar and an orientation of the avatar based on input received in a user device, wherein the location of the avatar changes as the avatar moves through a virtual world, and the orientation includes a point of gaze;identifying, by the computing device, a first location of the avatar in the virtual world, and a first point of gaze of the avatar;adjusting, at least based on the first point of gaze, at least one lens of at least one remote camera, wherein the at least one lens includes a first lens comprising flexible hinges that enable the first lens to move and flex in response to control signals;receiving image data collected using the adjusted lens, the image data corresponding to at least one real-world object in a real-world environment;generating a scene of the virtual world as seen by the avatar, the scene based on the collected image data, the first location of the avatar in the virtual world, and the orientation of the avatar in the virtual world;communicating, by the computing device to the user device, the generated scene; andcausing the user device to display the generated scene.2. The method of claim 1 , wherein the first lens is configured to direct available light received by the first lens from the real-world environment to ...

Roll turning and tap turning for virtual reality environments

Technologies are described for providing turning in virtual reality environments. For example, some implementations use roll turning that involves rotating around an outer edge of a control input, some implementations use tap turning to move directly to a location indicated by a control movement, and some implementations involve combinations of roll turning and tap turning.

Artificial intelligence system for providing relevant content queries across unconnected websites via a conversational environment

Systems and methods for automated conversational querying. The system includes a client device associated with a user, content sources including a website and a platform associated with the website. The platform includes a chat bot comprising a machine learning engine, an intent analysis system and a query system. The chat bot generates an interface window overlaid on the website, when the website is displayed on the client device. The chat bot generates an automated conversational dialog with the user via the interface window, and receives user input from the client device via the interface window, responsive to the automated conversational dialog. The intent system identifies an intent from the user input. The query system automatically queries at least one source among the content sources and obtains query results, based on the identified intent. The chat bot displays the query results on the interface window.

INFORMATION PROCESSING APPARATUS, METHOD, AND PROGRAM

The present disclosure relates to an information processing apparatus, a method, and a program capable of causing a system to efficiently learn a method of controlling a person. A control learning system calculates a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target. The control learning system performs reinforcement learning using the calculated reward and the state of the control target to select a better action for bringing the control target closer to the objective state. The control learning system executes the selected action for the control target. For example, the present disclosure can be applied to a control learning system including a terminal and a cloud system. 1. An information processing apparatus comprising:a reward calculating part configured to calculate a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target;a reinforcement learning part configured to perform reinforcement learning using the reward calculated by the reward calculating part and the state of the control target to select a better action for bringing the control target closer to the objective state; andan action execution part configured to execute the action selected by the reinforcement learning part for the control target.2. The information processing apparatus according to claim 1 , further comprising:a cause-and-effect analyzing part configured to perform a cause-and-effect analysis on the action executed for the control target; andan action adding part configured to add, as a result of the cause-and-effect analysis performed by the cause-and-effect analyzing part, a better action for bringing the control target closer to the objective state.3. The information processing apparatus according to claim 2 , further comprising:a notifier configured to notify regarding the action added by the action adding ...

METHOD, DEVICE, AND SYSTEM FOR DETERMINING A FALSE TOUCH ON A TOUCH SCREEN OF AN ELECTRONIC DEVICE

The touch screen system includes a touch input detector for detecting a touch input in order to obtain a touch result value through the touch screen, and detecting at least two of a time interval of the detected touch input, a touch area of the touch input, a touch intensity of the touch input, or a temperature of the touch input, a touch type classifier for outputting whether the detected touch input is a normal touch or a false touch from a learned AI model, and a communicator for communicating with the server, the communicator transmitting to the server, and the server includes an AI model learner for generating the learned AI model. According to the present disclosure, it is possible to determine the touch error by using the AI, the AI based false touch recognition technology, and the 5G network. 1. A method for determining a false touch on a touch screen of an electronic apparatus , comprising:detecting a touch input in order to obtain a touch result value through the touch screen;detecting at least two of a time interval with a previously input touch input of the detected touch input, a touch area of the touch input, a touch intensity of the touch input, or a temperature of the touch input;inputting data related to at least two of the time interval, the touch area, the touch intensity, or the temperature, which have been detected, to a learned AI model in order to determine a touch type of whether the detected touch input is a normal touch or a false touch;applying the input data to the learned AI model; andoutputting whether the detected touch input is a normal touch or a false touch from the learned AI model,wherein the normal touch is a touch that a target setting value of the intended touch input and the touch result value of the detected touch input coincide with each other, and the false touch is a touch that an unintended touch result value is detected even without touch input, or the target setting value and the touch result value of the detected touch ...

Customer service assistance system and customer service assistance method

A customer service assistance system includes: storage device that stores an address of an automated response device accumulating knowledge of a provided business in the output screen; and an arithmetic device that, when an inquiry specifying the address is received from a customer terminal, checks identification information of the output screen and an inquiry sentence indicated by the inquiry against questions-and-answers information held for each output screen of the provided business in the automated response device associated with the address, estimates a question matching an intention of the inquiry out of questions in the questions-and-answers information according to whether a screen associated with each question included in the questions-and-answers information matches the output screen and a degree of similarity between a sentence of each question included in the questions-and-answers information and the inquiry sentence, and extracts an answer to the question, and returns the answer to the customer terminal.

Vehicle suggestion report generator

A system and method for dynamically obtaining and evaluating information to optimize the generation of vehicle suggestions for a customer. A profile based on an initial set of information received from a user is created. Metrics are generated based on the profile information. Upon receiving a vehicle request, the profile and the request are analyzed in view of available vehicles. A customer's response to the vehicle suggestion list, as well as events triggered by a perceived need for additional information result in the dynamic adjustment of the profile and thus, the generated metrics.

HOLOGRAPHIC VIRTUAL ASSISTANT

Implementations are directed to methods for providing an enhanced encounter via a holographic virtual assistant, including detecting, by one or more processors, an encounter request from a user, selecting a first encounter including a first holographic representation and a first dialog output, providing the first encounter for presentation to the user on the holographic virtual assistant, receiving, from the user, a first user reaction, the first user reaction including a first user dialog input and a first user engagement input, and training, using the first user reaction, a conversational goal model. 1. A computer-implemented method for providing an enhanced encounter via a holographic virtual assistant , the method being executed by one or more processors and comprising:detecting, by the one or more processors, an encounter request from a user;selecting, by the one or more processors, a first encounter including a first holographic representation and a first dialog output;providing, by the one or more processors, the first encounter for presentation to the user on the holographic virtual assistant;receiving, by the one or more processors and from the user, a first user reaction, the first user reaction including a first user dialog input and a first user engagement input;training, by the one or more processors and using the first user reaction, a conversational goal model.2. The method of claim 1 , further comprising:selecting, based on the first user reaction and using the conversation goal model, a second encounter including a second holographic representation and a second dialog output;providing, the second encounter for presentation to the user on the holographic virtual assistant.3. The method of claim 2 , further comprising:determining, by the one or more processors, an environmental factor for the holographic virtual assistant;selecting, by the one or more processors and based in part on the environmental factor, the first encounter.4. The method of claim ...

INTEGRATED VIRTUAL ASSISTANT IN OIL GAS DOMAIN APPLICATIONS

A computer-implemented method for facilitating navigation of an oil-gas domain application using a virtual assistant integrated within the oil-gas domain application includes generating a trained model for responding to utterances received from a user via a virtual assistant integrated within an oil-gas domain application. The trained model links the utterances to respective actions and responses; receiving a user utterance via the virtual assistant integrated within the oil-gas domain application. The method further includes determining a response to the user utterance using the trained model, wherein the response is associated with performing an action within the oil-gas domain application; and providing the response to the virtual assistant to cause the virtual assistant to execute the action within the oil-gas domain application. 1. A computer-implemented method for facilitating navigation of an oil-gas domain application using a virtual assistant integrated within the oil-gas domain application comprising:generating a trained model for responding to utterances received from a user via the virtual assistant integrated within the oil-gas domain application, wherein the trained model links the utterances to respective actions and responses;receiving a user utterance via the virtual assistant integrated within the oil-gas domain application;determining a response to the user utterance using the trained model, wherein the response is associated with performing an action within the oil-gas domain application; andproviding the response to the virtual assistant to cause the virtual assistant to execute the action within the oil-gas domain application.2. The method of claim 1 , wherein the generating the trained model comprises:receiving information identifying an intended action to perform in the oil-gas domain application and an entity associated with the intended action and the oil-gas domain application;linking an utterance to the intended action and entity.3. The ...

Altering a targeted brain therapeutic based on a brain circuit model

Techniques that facilitate altering a targeted brain therapeutic are provided. In one example, a system determines parameter data associated with a circuit model of a biological brain. The system also simulates the circuit model based on the parameter data to generate treatment data associated with the biological brain.

Device Application, System and Method for Billing Statements

Systems and methods are presented for facilitating client reading and understanding of a billing statement. A client computing device includes a memory and a processor and a first set of computer instructions is stored in the memory of the client computing device and is executed by the processor of the client computing device. The computer instructions perform the steps of: receiving an electronic billing statement; identifying and highlighting select sections of the bill; launching a three-dimensional (3D) character; interposing the 3D character atop the electronic billing statement; and presenting a script via the 3D character, to the client, upon selection of a highlighted section. The script provides an explanation of the highlighted section and may be predefined or generated by artificial intelligence. 1. A system for facilitating client reading and understanding of a billing statement , the system comprising:a client computing device including a memory and a processor; and receiving an electronic billing statement;', 'identifying and highlighting select sections of the bill;', 'launching a three-dimensional (3D) character;', 'interposing the 3D character atop the electronic billing statement; and', 'presenting a script via the 3D character, to the client, upon selection of a highlighted section;, 'a first set of computer instructions configured for being stored in the memory of the client computing device and executed by the processor of the client computing device to perform the steps ofwherein the script provides an explanation of the highlighted section.2. The system of wherein the first set of computer instructions is further configured for performing the step of:continually repositioning the 3D character upon movement or tilting of the client computing device.3. The system of further comprising:a server including a server memory and a server processor, wherein the server is in communication with a billing computing device and the client computing device ...

Reinforced machine learning tool for anomaly detection

In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

ROBOT

A robot includes a control circuit that detects a changing maximum value of a pitch angle, when the robot moves to a predetermined target point by rotating its main body. The control circuit determines a minimum control amount corresponding to the maximum value of the pitch angle, when the robot arrives at a predetermined distance short of the predetermined target point. The control circuit generates a deceleration control amount for the second drive mechanism that is greater than or equal to the minimum control amount, according to a remaining distance to the predetermined target point. The control circuit decelerates the rotation of the main body by controlling the second drive mechanism in accordance with the deceleration control amount. 1. A robot , comprising:a main body having a spherical-zone shape, the spherical-zone shape defined by a first side and a second side opposed to the first side being removed from a sphere;a first spherical-crown corresponding to the first side;a second spherical-crown corresponding to the second side;a shaft that connects the first spherical-crown and the second spherical-crown;a display that is mounted in the shaft via an arm, the display configured to display at least part of a face of the robot;a first drive mechanism that is configured to rotate the first spherical-crown and the second spherical-crown by rotation of the shaft;a second drive mechanism that is independent of the first drive mechanism and configured to rotate the main body around the shaft as a center;an angular speed sensor that is configured to detect an angular speed, of the display, around an axis in a horizontal direction perpendicular to a moving direction of the main body;a memory that stores a correspondence relationship between a reference pitch angle and a minimum control amount, the minimum control amount being used by the second drive mechanism for moving the main body without stopping; and detect a maximum value of a pitch angle which changes since ...

Auto-evolving of online posting based on analyzed discussion thread

A method, computer system, and a computer program product for online posting annotation is provided. The present invention may include identifying a topic in an online posting. The present invention may include determining that a comment to the online posting relates to the online posting. The present invention may include adding at least one detail from the comment to the online posting. The present invention may include tagging the at least one added detail with at least one piece of metadata. The present invention may include validating a viewing access based on the at least one piece of metadata and displaying an amended online posting.

Reinforcement learning approach to approximate a mental map of formal logic

Methods, systems, and apparatus, including computer programs language encoded on a computer storage medium for a logic correction system whereby input text is modified to a logical state using a reinforcement learning system with a real-time logic engine. The logic engine is able to extract the symmetry of word relationships and negate relationships into formal logical equations such that an automated theorem prover can evaluate the logical state of the input text and return a positive or negative reward. The reinforcement learning agent optimizes a policy creating a conceptual understanding of the logical system, a ‘mental map’ of word relationships.

MACHINE LEARNING BASED AUTOMATED PAIRING OF INDIVIDUAL CUSTOMERS AND SMALL BUSINESSES

Aspects of the disclosure relate to automated pairing of customers and businesses. A computing platform may determine, based on historical user activity of a user, a pattern of the user activity, and may identify, based on the pattern of the user activity, an anticipated purchase activity of the user. Then, the computing platform may determine a sales offering by a vendor. Then, the computing platform may match the anticipated purchase activity with the sales offering. Then, the computing platform may retrieve user-defined preference rules associated with the anticipated purchase activity. Then, the computing platform may determine whether the preference rules apply to one or more attributes of the anticipated purchase activity. Subsequently, the computing platform may trigger, based on a determination that the preference rules apply to the one or more attributes of the anticipated purchase activity, an action associated with the anticipated purchase activity. 1. A computing platform , comprising:at least one processor; and determine, via a computing device and based on historical user activity of a user, a pattern of the user activity;', 'identify, based on the pattern of the user activity, one or more anticipated purchase activities of the user;', 'determine, via the computing device and based on the one or more anticipated purchase activities of the user, a sales offering by a vendor;', 'match, via the computing device, the one or more anticipated purchase activities of the user with the sales offering by the vendor;', 'retrieve, from a repository of user data and for a purchase activity of the one or more anticipated purchase activities, one or more user-defined preference rules associated with the purchase activity;', 'determine whether the one or more preference rules apply to one or more attributes of the purchase activity; and', 'trigger, via the computing device and based on a determination that the one or more preference rules apply to the one or more ...

USER-HESITANCY BASED VALIDATION FOR VIRTUAL ASSISTANCE OPERATIONS

A system determines if a user is hesitating when inputting a command based on a time delay. The system determines a severity value based on the hesitancy, and further determines whether or not to prompt the user to validate the command based (at least in part) on the severity value. 1. A method , comprising:receiving a command from a user;calculating, based on a time delay of the command, a hesitancy of the user; andcalculating, based on the hesitancy, a severity value of the command;determining, based on the severity value, whether a validation of the command is implicated; andprompting, responsive to a determination that a validation of the command is implicated, the user to validate the command.2. The method of claim 1 , further comprising:receiving a response to the prompting, the response indicating that the command is valid;executing the command; and the command;', 'the severity value; and', 'the response., 'updating a command history database based on3. The method of claim 1 , further comprising:receiving a response to the prompting, the response cancelling the command;cancelling the command; and the command;', 'the severity value; and', 'the response., 'updating a command history database based on4. The method of claim 1 , wherein the determining is further based on a command history database.5. The method of claim 1 , wherein the prompting is based on:the hesitancy; anda security level of the command.6. The method of claim 1 , wherein the command includes a value; andthe method further comprises comparing the value to a normal range of values, wherein the determining is further based on the comparison.7. The method of claim 1 , further comprising calculating a likelihood of command reversal claim 1 , wherein the severity value is further based on the likelihood of command reversal.8. A system claim 1 , comprising: receive a command from a user;', 'calculate, based on a time delay of the command, a hesitancy of the user; and', 'calculate, based on the ...

SOLVING VEHICLE ROUTING PROBLEMS USING EVOLUTIONARY COMPUTING TECHNIQUES

According to one exemplary embodiment, a method for solving combinatorial optimization problems is provided. The method may include receiving a plurality of problem instance parameters associated with a graph. The method may also include determining a dynamic path change indicator exists. The method may then include initializing the graph based on the determining the dynamic path change indicator does not exist. The method may further include inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator exists. The method may also include reinitializing the graph with the inserted place holder node and the at least one placeholder node edge. The method may then include initializing the reinitialized graph. The method may further include executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm. 1one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:receiving a plurality of problem instance parameters associated with a graph, wherein the graph comprises a plurality of nodes and a plurality of edges, wherein each edge of the plurality of edges links two nodes of the plurality of nodes, and wherein at least one node of the plurality of nodes in the graph has an associated capacity requirement value;determining when a dynamic path change indicator exists;initializing the graph based on the determining the dynamic path change indicator does not exist;inserting a placeholder node and at least one placeholder node edge based on determining the dynamic path ...

GENERATING AND USING A PREDICTIVE VIRTUAL PERSONFICATION

A system for generating a predictive virtual personification includes receiving, from an AV data source, a data store, and a saliency recognition engine, wherein the AV data source is configured to transmit one or more AV data sets to the saliency recognition engine, each AV data set includes a graphical representation of a donor subject, and the saliency recognition engine is configured to receive the AV data set and one or more identified trigger stimulus events, locate a set of saliency regions of interest (SROI) within the graphical representation of the donor subject, generate a set of SROI specific saliency maps and store, in the data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event. 1. A method for generating a predictive virtual personification comprises:receiving, from an AV data source, one or more AV data sets;locating within each AV data set, with a saliency recognition engine, a graphical representation of a donor subject and a set of saliency regions of interest (SROI) within said graphical representation of the donor subject;identifying one or more trigger stimulus events, wherein each trigger stimulus events precedes or is contemporaneous with one or more SROI specific reactive responses and each SROI specific reactive response is observable within a SROI;generating, for each SROI, a set of SROI specific saliency maps, wherein each SROI specific saliency map plots a change in geospatial orientation of one or more SROIs within a predetermined time-frame corresponding to each trigger stimulus event; andstoring, in a data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event.2. The method of claim 1 , further comprising identifying a set of donor-specific physio-emotional characteristics corresponding to a donor-specific physio-emotional state at the time of the trigger ...