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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 17. Отображено 14.
02-01-2020 дата публикации

FRAMEWORK AND STORE FOR USER-LEVEL CUSTOMIZABLE ACTIVITY-BASED APPLICATIONS FOR HANDLING AND MANAGING DATA FROM VARIOUS SOURCES

Номер: US20200004388A1
Автор: ENGRAV Peter Loren, JOSHI Yogesh Madhukarrao, KULKARNI Aniruddha Prabhakar, MYHRE Nathaniel M., Sachidanandam Vignesh
Принадлежит:

An artificial intelligence (“AI”) engine selects a schema that defines an activity-specific user interface (“UI”) for presenting activity-specific content based upon one or more topics associated with an activity. A UI can then be presented for receiving edits to the selected schema and the edits can be published for utilization by other users. Data identifying the edits, selection of a different schema for the activity, modification of properties associated with the selected schema, and data describing usage of the schema can be provided to the AI engine for using in improving an AI model utilized to select the schema. 1. A computer-implemented method , comprising:selecting, by way of an artificial intelligence (AI) engine, a schema defining an activity-specific user interface (UI) for presenting activity-specific content for an activity, the schema being selected based, at least in part, on one or more topics associated with the activity;rendering a UI for receiving edits to the schema from a user;receiving the edits to the schema by way of the UI; andpublishing the edits to the schema for utilization by one or more other users.2. The computer-implemented method of claim 1 , wherein the edits to the schema modify one or more data sources identified by the schema.3. The computer-implemented method of claim 1 , further comprising providing data to the AI engine for updating an AI model utilized to select the schema responsive to receiving the edits to the schema.4. The computer-implemented method of claim 1 , further comprising:rendering a UI for enabling selection of a new schema for the activity;receiving a selection of the new schema for the activity; andresponsive to receiving the selection of the new schema for the activity, providing data to the AI engine for use in updating an AI model utilized to select the schema.5. The computer-implemented method of claim 1 , further comprising:rendering a UI for editing properties associated with the activity;receiving ...

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Номер записи: 1
02-01-2020 дата публикации

Ai-driven human-computer interface for associating low-level content with high-level activities using topics as an abstraction

Номер: US20200004565A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Peter Loren Engrav, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing LLC

An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

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Номер записи: 2
02-01-2020 дата публикации

PERSONALIZED ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE MODELS BASED UPON USER-DEFINED SEMANTIC CONTEXT AND ACTIVITIES

Номер: US20200004890A1
Автор: Gates, III William Henry, JOSHI Yogesh Madhukarrao, KULKARNI Aniruddha Prabhakar, MYHRE Nathaniel M., Sachidanandam Vignesh
Принадлежит:

An artificial intelligence (“AI”) engine generates an activity graph that includes nodes corresponding to activities and that defines clusters of content associated with the activities. A natural language (“NL”) search engine can receive a NL query and parse the NL query to identify entities and intents specified by the NL query. Clusters of content defined by the activity graph can be identified based upon the identified entities and intents. A search can then be made of the identified clusters of content using the entities and intents. Search results identifying the content located by the search can then be returned in response to the NL query. 1. A computer-implemented method , comprising:generating, by way of an artificial intelligence (AI) engine, an activity graph comprising nodes associated with activities and defining clusters of content associated with the activities;receiving a natural language (NL) query by way of an NL search engine;parsing the NL query to identify one or more entities and intents specified by the NL query;identifying one or more clusters of the content based on the identified entities and intents;searching the content in the identified one or more clusters of content using the identified entities and intents; andreturning search results identifying the content located by the search in response to the NL query.2. The computer-implemented method of claim 1 , further comprising using the activity graph to train the NL search engine to identify the entities and intents.3. The computer-implemented method of claim 1 , wherein the NL query is received by way of a search UI provided by an activity management application.4. The computer-implemented method of claim 1 , further comprising searching one or more properties associated with the activities using the identified entities and intents.5. The computer-implemented method of claim 4 , wherein the properties are defined by schema associated with the activities.6. The computer-implemented ...

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Номер записи: 3
02-01-2020 дата публикации

Ai-driven human-computer interface for presenting activity-specific views of activity-specific content for multiple activities

Номер: US20200005158A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Vignesh Sachidanandam, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing LLC

An artificial intelligence (“AI”)-based system is disclosed for presenting activity-specific views of relevant activity-specific content. An AI engine selects activity-specific content relating to a multitude of activities. The selected activities can have associated relevance scores exceeding a predefined threshold value. The selected activity-specific content can be used to render user interface (“UI”) elements in a UI for the activities. The UI elements present an activity-specific view of the activity-specific content relating to each activity.

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Номер записи: 4
02-01-2020 дата публикации

Ai-synthesized application for presenting activity-specific ui of activity-specific content

Номер: US20200005159A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing LLC

An artificial intelligence (“AI”)-based system is disclosed for utilizing a schema to auto-generate an application for a specific context. An AI engine selects an activity schema associated with an activity. The schema identifies data sources for obtaining activity-specific content for the activity and can be selected based upon topics associated with the activity. The AI engine also selects a view definition that defines an arrangement of an activity-specific user interface (“UT”) for presenting relevant activity-specific content obtained from the data sources identified by the schema. An application is then generated using the schema and the view definition. The application can generate the activity-specific UT for presenting the relevant activity-specific content.

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Номер записи: 5
09-09-2021 дата публикации

AI-DRIVEN HUMAN-COMPUTER INTERFACE FOR ASSOCIATING LOW-LEVEL CONTENT WITH HIGH-LEVEL ACTIVITIES USING TOPICS AS AN ABSTRACTION

Номер: US20210279085A1
Автор: ENGRAV Peter Loren, Gates, III William Henry, JOSHI Yogesh Madhukarrao, KULKARNI Aniruddha Prabhakar, MYHRE Nathaniel M., Sachidanandam Vignesh
Принадлежит:

An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities. 120-. (canceled)21. A computer-implemented method , comprising:receiving, from one or more data sources, content associated with a user;receiving, via a configuration user interface (UI), first user input that defines a first activity identifier that indicates a first activity that is engaged in by the user;receiving, via the configuration UI, second user input that defines a second activity identifier that indicates a second activity that is engaged in by the user; a first topic, from the content associated with the user, that is associated with the first activity that is engaged in by the user, and', 'a second topic, from the content associated with the user, that is associated with the second activity that is engaged in by the user;, 'based on the first user input and the second user input, causing an artificial intelligence (AI) engine to analyze the content based on an AI model to determine a first topic identifier UI element that identifies the first topic determined to be associated with the first activity that is engaged in by the user, and', 'a second topic identifier UI element that identifies the second topic determined to be associated with the second activity that is engaged in by the user;, 'rendering, via the configuration UI, at least a first node that corresponds to the first activity,', 'a second node that corresponds to the second activity,', 'a third node that ...

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Номер записи: 6
27-11-2014 дата публикации

Notes Page Sharing and Notification Features

Номер: US20140351716A1
Автор: Hu Philip, MYHRE Nathaniel M., Rasmussen David, Sitaula Suresh, Soh Jonathan Yong-Chern, Sridharan Hemalatha, Steinbok Nicole, Suppalertporn Sattawat, Tse David, Veselova Olga, Wionzek Thomas
Принадлежит: MICROSOFT CORPORATION

Embodiments provide notes application features including notes page sharing and notification features, but the embodiments are not so limited. In an embodiment, a computer-based method can be configured to provide a communication to one or more designated recipients, wherein the communication includes one of a view link to a shared page or an editable shared notes page or link thereto. A system of an embodiment includes a server computer configured in part to process notes page sharing requests as part of creating view links to shared notes pages and/or providing users with a means to collaboratively edit a shared notes page. A user interface of an embodiment is configured to share notes pages including displaying notification information regarding other user shared notes page views and/or edits. Other embodiments are included. 1. A method comprising:using a notes application interface to create an electronic notes page having one or more original notes page tags;using the notes application interface to share the electronic notes page with one or more other users as a shared electronic notes page, wherein the shared electronic notes page includes the one or more original notes page tags and page-level permissions corresponding to one of editing permissions and viewing permissions; andusing the notes application interface to display information associated with user edits or views while displaying the shared electronic notes page.2. The method of claim 1 , further comprising storing the shared electronic notes page in cloud storage including the page-level permissions.3. The method of claim 1 , further comprising using the notes application interface to identify permitted editors allowed to edit the electronic notes page and display identity information for corresponding edits made by the permitted editors.4. The method of claim 1 , further comprising using the notes application interface to create a view link to enable other users to view the shared electronic notes ...

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Номер записи: 7
20-09-2016 дата публикации

Shared job scheduling in electronic notebook

Номер: CA2757073C
Автор: Nathaniel M. Myhre
Принадлежит: Microsoft Technology Licensing LLC

Architecture that synchronizes a job to shared notebook eliminating the need for user intervention and guaranteeing that only one instance of the notebook client performs the task. A job tracking compo-nent creates and maintains tracking information of jobs processed against shared notebook information. A scheduling component synchronizes a new job against the shared notebook information based on the tracking in-formation. The tracking information can be a file or cells stored at a root level of a hierarchical data collection that represents the electronic note-book. The file includes properties related to a job that has been processed. The properties are updated as new jobs are processed. Job scheduling in-cludes whole file updates and/or incremental updates to the shared note-book information.

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Номер записи: 8
20-01-2011 дата публикации

Shared job scheduling in electronic notebook

Номер: WO2010127286A3
Автор: Nathaniel M. Myhre
Принадлежит: MICROSOFT CORPORATION

Architecture that synchronizes a job to shared notebook eliminating the need for user intervention and guaranteeing that only one instance of the notebook client performs the task. A job tracking component creates and maintains tracking information of jobs processed against shared notebook information. A scheduling component synchronizes a new job against the shared notebook information based on the tracking information. The tracking information can be a file or cells stored at a root level of a hierarchical data collection that represents the electronic notebook. The file includes properties related to a job that has been processed. The properties are updated as new jobs are processed. Job scheduling includes whole file updates and/or incremental updates to the shared notebook information.

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Номер записи: 9
18-10-2022 дата публикации

AI-driven human-computer interface for associating low-level content with high-level activities using topics as an abstraction

Номер: US11474843B2
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Peter Loren Engrav, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing LLC

An artificial intelligence (“AI”) based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

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Номер записи: 10
02-01-2020 дата публикации

Ai-synthesized application for presenting activity-specific ui of activity-specific content

Номер: WO2020005549A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing, LLC

An artificial intelligence ("AI") -based system is disclosed for utilizing a schema to auto-generate an application for a specific context. An AI engine selects an activity schema associated with an activity. The schema identifies data sources for obtaining activity-specific content for the activity and can be selected based upon topics associated with the activity. The AI engine also selects a view definition that defines an arrangement of an activity-specific user interface ("UI") for presenting relevant activity-specific content obtained from the data sources identified by the schema. An application is then generated using the schema and the view definition. The application can generate the activity-specific UI for presenting the relevant activity-specific content.

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Номер записи: 11
05-05-2021 дата публикации

Ai-synthesized application for presenting activity-specific ui of activity-specific content

Номер: EP3814941A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing LLC

An artificial intelligence ("AI") -based system is disclosed for utilizing a schema to auto-generate an application for a specific context. An AI engine selects an activity schema associated with an activity. The schema identifies data sources for obtaining activity-specific content for the activity and can be selected based upon topics associated with the activity. The AI engine also selects a view definition that defines an arrangement of an activity-specific user interface ("UI") for presenting relevant activity-specific content obtained from the data sources identified by the schema. An application is then generated using the schema and the view definition. The application can generate the activity-specific UI for presenting the relevant activity-specific content.

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Номер записи: 12
02-01-2020 дата публикации

Ai-driven human-computer interface for associating low-level content with high-level activities using topics as an abstraction

Номер: WO2020005623A1
Автор: Aniruddha Prabhakar KULKARNI, Nathaniel M. Myhre, Peter Loren Engrav, Vignesh Sachidanandam, William Henry GATES, III, Yogesh Madhukarrao JOSHI
Принадлежит: Microsoft Technology Licensing, LLC

An artificial intelligence ("AI") based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.

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Номер записи: 13
30-05-2017 дата публикации

Shared job scheduling in electronic notebook

Номер: US09665413B2
Автор: Nathaniel M. Myhre
Принадлежит: Microsoft Technology Licensing LLC

Architecture that synchronizes a job to shared notebook eliminating the need for user intervention and guaranteeing that only one instance of the notebook client performs the task. A job tracking component creates and maintains tracking information of jobs processed against shared notebook information. A scheduling component synchronizes a new job against the shared notebook information based on the tracking information. The tracking information can be a file or cells stored at a root level of a hierarchical data collection that represents the electronic notebook. The file includes properties related to a job that has been processed. The properties are updated as new jobs are processed. Job scheduling includes whole file updates and/or incremental updates to the shared notebook information.

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Номер записи: 14