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Machine learning model configuration in wireless networks

Номер патента: US12089291B2
Опубликовано: 10-09-2024
Автор(ы): Aziz Gholmieh, Eren Balevi, Gavin Bernard Horn, Rajat Prakash, RAJEEV Kumar, Shankar Krishnan, Taesang Yoo, Xipeng Zhu
Принадлежит: Qualcomm Inc
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Methods and systems for privacy preserving evaluation of machine learning models

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Method and apparatus for csi prediction in wireless networks

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Deep learning models for electric motor winding temperature estimation and control

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Deep learning models for electric motor winding temperature estimation and control

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Machine learning model generation and updating for manufacturing equipment

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Machine learning models for electrical power simulations

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Machine learning models for electrical power simulations

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Method of generating a learning model for transferring fluid from one container to another by controlling robot arm based on a machine-learned learning model, and a method and system for weighing the fluid

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Machine learning modeling to predict heuristic parameters for radiation therapy treatment planning

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System, method, and computer program product for secure edge computing of a machine learning model

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Systems and methods for machine learning model training and deployment

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Machine learning systems and methods for document recognition and analytics

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Systems and methods for machine learning model management

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Techniques for validating machine learning models

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User equipment, base station, and wireless communication methods based on machine learning/artificial intelligence

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Utilizing multiple stacked machine learning models to detect deepfake content

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Distributed learning machine learning models for personalization

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System for controlling devices in iot networks using self-learning machine learning models

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Digital watermarking of machine learning models

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Digital watermarking of machine learning models

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Machine learning model aggregation

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Validation of a machine learning model

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Semantics preservation for machine learning models deployed as dependent on other machine learning models

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Methods, apparatus and machine-readable mediums relating to machine learning models

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Software model testing for machine learning models

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System and method for electronic compliance evaluation of transmitted object data via a machine learning model

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Debugging and profiling of machine learning model training

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Learning method using machine learning to generate correct sentences, extraction method, and information processing apparatus

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Hybrid machine learning methods of training and using models to predict formulation properties

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Machine learned model for contract generation in a document management system

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Auto discovery protocol and virtual grouping of machine learning models

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Federated learning service in a provider network and training machine learning models using devices external to the provider network

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Personalized machine learning on mobile computing devices

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System, Method, and Computer Program Product for Segmentation Using Knowledge Transfer Based Machine Learning Techniques

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Quantization for artificial intelligence/machine learning models

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Machine learned model for contract generation in a document management system

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Storage medium, machine learning method, and machine learning device

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Automated metadata asset creation using machine learning models

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Machine Learning Model Deployment in Inference System

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Adversarial robustness of deep learning models in digital pathology

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Adversarial robustness of deep learning models in digital pathology

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Explainable machine learning based on wavelet analysis

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Hybrid machine learning methods of training and using models to predict formulation properties

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Machine learning model generator

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Confidential tuning of pre-trained machine learning models

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Systems and methods for evaluating machine-learning models and predictions

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Data sovereignty compliant machine learning

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Hybrid machine learning architecture for visual content processing and uses thereof

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Utilizing models to generate identifiers that identify and provide authentication for machine learning models

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Multi-stage training of machine learning models

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Machine learning optimization for fraud detection

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Time-based ensemble machine learning model

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Adding a fingerprint to a machine learning model

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Combining rules-based knowledge engineering with machine learning prediction

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Architecture to employ machine-learning model

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Unattended object detection using machine learning

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Machine learning ensemble for processing divergent input domains for automated scheduling systems

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Machine learning model development and optimization process that ensures performance validation and data sufficiency for regulatory approval

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Method and system for training a machine learning model

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Combining rules-based knowledge engineering with machine learning prediction

Номер патента: EP4049191A1. Автор: Kevin M. McCluskey,Peter E. Lubczynski,Kevin Michael Furbish. Владелец: Intuit Inc. Дата публикации: 2022-08-31.

Combining rules-based knowledge engineering with machine learning prediction

Номер патента: WO2022026039A1. Автор: Kevin M. McCluskey,Peter E. Lubczynski,Kevin Michael Furbish. Владелец: INTUIT INC.. Дата публикации: 2022-02-03.

Combining rules-based knowledge engineering with machine learning prediction

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Architecture to employ machine-learning model

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Machine learning controller and method for machine learning controller

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Systems and Methods for Progressive Learning for Machine-Learned Models to Optimize Training Speed

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Computer-implemented method for providing explanations concerning a global behavior of a machine learning model

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Machine learning systems for automated database element processing and prediction output generation

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A machine learning-based framework using electroretinography for detecting early-stage glaucoma

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Machine learning guided design of viral vector libraries

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Dynamic input-sensitive validation of machine learning model outputs and methods and systems of the same

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Effective leveraging of synthetic data for depth estimation machine learning models

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Method for building machine learning models for artificial intelligence based information technology operations

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Automated Explanation of Machine Learning Predictions Using Classification Score Targeting

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Schneller konvergierendes vortraining für machine learning-modelle

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Training a machine learning model based on text and image data

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Machine learning-assisted user reporting and moderation of multimedia content

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System and method for autonomous learning of contents using a machine learning algorithm

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AMD-Data Analysis:ACADEMY DATA ANALYSIS USING MACHINE LEARNING, DEEP LEARNING PROGRAMMING

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Non-transitory computer-readable recording medium storing machine learning program, machine learning method, and machine learning apparatus

Номер патента: US20240202601A1. Автор: Yoshihiro Okawa,Yasuto Yokota. Владелец: Fujitsu Ltd. Дата публикации: 2024-06-20.

Leveraging Machine Learning Models to Identify Missing or Incorrect Labels in Training or Testing Data

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System, user interface and method for interactive negative explanation of machine learning localization models in health care applications

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Machine-learning techniques for predicting actions and behavior

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Environment-specific training of machine learning models

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Un-learning of training data for machine learning models

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Composing a machine learning model for complex data sources

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Generating synthetic images and/or training machine learning model(s) based on the synthetic images

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De-noising using multiple threshold-expert machine learning models

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Dynamic gradient deception against adversarial examples in machine learning models

Номер патента: US12050993B2. Автор: Taesung Lee,Ian Michael Molloy. Владелец: International Business Machines Corp. Дата публикации: 2024-07-30.

Computer-implementiertes Verfahren zum Erzeugen eines Machine-Learning-Modells zum Bestimmen eines Steuerparameters für ein Kraftfahrzeug

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Federated teacher-student machine learning

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No-coding machine learning pipeline

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Training a machine learning model based on text and image data

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Method for automated ensemble machine learning using hyperparameter optimization

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Machine learning modeling of probe intensity

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Learning Parameter Sampling Configuration for Automated Machine Learning

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Detecting out-of-distribution data sample in a machine learning operation

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Systems and methods for determining a user specific mission operational performance metric, using machine-learning processes

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Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

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Automated explanation of machine learning predictions using classification score targeting

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Malleable confidence models and machine learning prediction

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Computer-implemented method for generating a trained machine learning model

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Continuous machine learning system for containerized environment with limited resources

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Techniques for training and analyzing a machine learning model

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Method of producing storage medium storing machine learning model and storage medium storing computer-readable instructions for performing anomaly detection in object with machine learning model

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Federated teacher-student machine learning

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Machine learning model operation management system and method

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Systems and methods for retraining machine-learning models to perform alert grouping

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Method and apparatus for training a computer-implemented machine-learning model

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Method, apparatus, and system for providing a location-aware evaluation of a machine learning model

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Image processing device generating dot data using machine learning model and method for training machine learning model

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Machine learning modeling of probe intensity

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Detecting out-of-distribution data sample in a machine learning operation

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Machine learning model compression using weighted low-rank factorization

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Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

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Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

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Generation of digital standards using machine-learning model

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Systems and methods for lightweight machine learning models

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Unknown-class (out-of-distribution) data detection in machine learning models

Номер патента: US20240095537A1. Автор: Alireza Zaeemzadeh,Umar Khalid,Nazanin Rahnavard. Владелец: University of Central Florida Research Foundation Inc UCFRF. Дата публикации: 2024-03-21.

Text Classification via Term Mapping and Machine-learning Classification Model

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Training machine learning models using quantile and median ranking distillation

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Graph database techniques for machine learning

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Generating analytics prediction machine learning models using transfer learning for prior data

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Monitoring of edge- deployed machine learning models

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A controller for selecting machine learning models from an ensemble of models and a method thereof

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Method for training a machine learning model for determining the coefficients of a partial differential equation of a known operator-defined family of partial differential equations

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Machine learning model training using an analog processor

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Training method and apparatus for machine learning model, image processing method and apparatus

Номер патента: US20240289960A1. Автор: Chuqian ZHONG. Владелец: Beijing BOE Technology Development Co Ltd. Дата публикации: 2024-08-29.

New features for black-box machine-learning models

Номер патента: EP4416639A1. Автор: Christian Eggenberger,Patrick Lustenberger,Frederik Flöther,Saurabh Yadav. Владелец: International Business Machines Corp. Дата публикации: 2024-08-21.

Learning parameter sampling configuration for automated machine learning

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Monitoring of edge-deployed machine learning models

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Combined wide and deep machine learning models for automated database element processing systems, methods and apparatuses

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Explainable classifications with abstention using client agnostic machine learning models

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Systems and methods for generating synthetic tabular data for machine learning and other applications

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Executing unsupervised pre-training tasks with a machine learning model to predict document graph attributes

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Explainable classifications with abstention using client agnostic machine learning models

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Transforming conversational training data for different machine learning models

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Biological image transformation using machine-learning models

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Methods and systems for facilitating feature engineering for machine learning models

Номер патента: US20240202576A1. Автор: Olli Pekka Kostamaa,Ahmad Said Ghazal,Hanumath Rao Maduri. Владелец: Individual. Дата публикации: 2024-06-20.

Machine-learned model training for pedestrian attribute and gesture detection

Номер патента: US12051276B1. Автор: Yi Xu,XIN Wang,Vasiliy Karasev,Kratarth Goel,Sarah Tariq,Oytun Ulutan. Владелец: Zoox Inc. Дата публикации: 2024-07-30.

Systems and methods for detecting drift between data used to train a machine learning model and data used to execute the machine learning model

Номер патента: US20220383038A1. Автор: Karthik Rao,Keegan E. HINES,John P. Dickerson,Rowan CHEUNG,Reese M. E. HYDE. Владелец: Arthur Ai Inc. Дата публикации: 2022-12-01.

Generation of datasets for machine learning models and automated predictive modeling of ocular surface disease

Номер патента: US20220084675A1. Автор: Ahmed Rustom Al-Ghoul. Владелец: Individual. Дата публикации: 2022-03-17.

Radar system using a machine-learned model for stationary object detection

Номер патента: EP4075159A1. Автор: Shan ZHANG,Narbik Manukian,Kanishka Tyagi,Yihang Zhang,John Kirkwood,Sanling Song. Владелец: Aptiv Technologies Ltd. Дата публикации: 2022-10-19.

Machine learning models for evaluating differences between groups and methods thereof

Номер патента: US20210073683A1. Автор: Vikramaditya Repaka,Ruoyu SHAO,Fenglin YAN. Владелец: Capital One Services LLC. Дата публикации: 2021-03-11.

Machine learning model for storage system

Номер патента: US20230039564A1. Автор: Andrew R. Bernat,Prakash Darji. Владелец: Pure Storage Inc. Дата публикации: 2023-02-09.

Machine learning system for automated recommendations of evidence during dispute resolution

Номер патента: US20220309507A1. Автор: Anthony Ross,Raymond Buhr. Владелец: PayPal Inc. Дата публикации: 2022-09-29.

Automatic correction of indirect bias in machine learning models

Номер патента: US20200134493A1. Автор: Manish Bhide,Ruchir Puri,Ravi Chandra Chamarthy. Владелец: International Business Machines Corp. Дата публикации: 2020-04-30.

Custom object tracking using hybrid machine learning

Номер патента: US20240212377A1. Автор: Sagi Ben Moshe,Ron Kimmel,Ofir Mulla,Aviad Zabatani,Noam ROTSTEIN,Amit Bracha,Ron SLOSSBERG. Владелец: Lumana Inc. Дата публикации: 2024-06-27.

Digital watermarking of machine-learning models

Номер патента: US20220050888A1. Автор: Peter Zatloukal. Владелец: Xnor AI Inc. Дата публикации: 2022-02-17.

Generating a transformed dataset for use by a machine learning model in an artificial intelligence infrastructure

Номер патента: US11768636B2. Автор: Igor Ostrovsky,Roy Kim,Brian Gold,Emily Watkins,Ivan Jibaja. Владелец: Pure Storage Inc. Дата публикации: 2023-09-26.

Airport information updates based on machine-learning models

Номер патента: EP4290413A1. Автор: Millie Irene Sterling,Andrea Sanzone,Hendrik Schoeniger. Владелец: Boeing Co. Дата публикации: 2023-12-13.

Automated and optimal encoding of text data features for machine learning models

Номер патента: US20200097545A1. Автор: Shubhashis Sengupta,Milind Savagaonkar,Ajay Chatterjee. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2020-03-26.

Machine learning model for storage system

Номер патента: US11775491B2. Автор: Andrew R. Bernat,Prakash Darji. Владелец: Pure Storage Inc. Дата публикации: 2023-10-03.

Automated synthetic augmentation of machine learning model training datasets and input variables to improve accuracy

Номер патента: US20240256985A1. Автор: Sarita Mantravadi. Владелец: Evicore Healthcare Msi LLC. Дата публикации: 2024-08-01.

Machine learning to generate and evaluate visualizations

Номер патента: US11756245B2. Автор: Scott Rigney,Timothy Lang,Saurabh Abhyankar,Glenn Boysko. Владелец: Microstrategy Inc. Дата публикации: 2023-09-12.

Machine learning document classification

Номер патента: US12051255B1. Автор: Apoorv Sharma,Brian Holligan. Владелец: States Title LLC. Дата публикации: 2024-07-30.

Code completion with machine learning

Номер патента: EP4147122A1. Автор: Neelakantan Sundaresan,Xiaoyu Liu,Shengyu Fu. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-03-15.

Method for creating, editing and using machine learning models without training or propagation algorithms

Номер патента: CA3090918A1. Автор: Landon D. Garrison. Владелец: Individual. Дата публикации: 2022-02-24.

Machine learning models for patent valuation

Номер патента: US20240037683A1. Автор: Dokyun LEE,David Hwei-yu Hsu,Prasanna Tambe. Владелец: University of Pennsylvania Penn. Дата публикации: 2024-02-01.

Automated generation of a machine learning model from computational simulation data

Номер патента: EP4222665A1. Автор: Ian Campbell,David M. FREED. Владелец: OnScale Inc. Дата публикации: 2023-08-09.

Systems and methods for machine learning model selection for time series data

Номер патента: US20240265273A1. Автор: Quenie Sun. Владелец: NetScout Systems Inc. Дата публикации: 2024-08-08.

Crowd-sourced data collection and labelling using gaming mechanics for machine learning model training

Номер патента: US12064697B2. Автор: Kang Zhang,Kevin Yu,Simone REBAUDENGO,Nick PITTOM,Matt AU. Владелец: Sidechef Group Ltd. Дата публикации: 2024-08-20.

Systems and methods for machine-learned models having convolution and attention

Номер патента: US11755883B2. Автор: Quoc V. Le,Mingxing Tan,Zihang Dai,Hanxiao Liu. Владелец: Google LLC. Дата публикации: 2023-09-12.

Methods and apparatus for modifying machine learning model

Номер патента: WO2021120028A1. Автор: Ping Hu,Anbang YAO,Yurong Chen,Yangyuxuan Kang. Владелец: Intel Corporation. Дата публикации: 2021-06-24.

Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving

Номер патента: US20220289180A1. Автор: Wenjie Luo,Raquel Urtasun,Sergio Casas. Владелец: Uatc LLC. Дата публикации: 2022-09-15.

Career progression planning tool using a trained machine learning model

Номер патента: US20230068203A1. Автор: Siu Wan Surlina YIN. Владелец: Oracle International Corp. Дата публикации: 2023-03-02.

Mask correction method, mask correction device for double patterning and training method for layout machine learning model

Номер патента: US20220373877A1. Автор: Chung-Yi Chiu,Min-Cheng Yang. Владелец: United Microelectronics Corp. Дата публикации: 2022-11-24.

Method for providing a training dataset for training and/or testing a machine learning model, method for training a machine learning model, and method for predicting timing and/or resource requirements of an unknown application running on an electronic device

Номер патента: EP4231154A1. Автор: Pengcheng HUANG,Thanikesavan Sivanthi,Andrea RUEETSCHI,Georgia Giannopoulou,Oliver SCHEUSS. Владелец: ABB Schweiz AG. Дата публикации: 2023-08-23.

Calibrating pathogencity scores from a variant pathogencity machine-learning model

Номер патента: US20240290425A1. Автор: Kai-How FARH,Tobias Hamp,Jeffrey Mark EDE. Владелец: Illumina Inc. Дата публикации: 2024-08-29.

Machine Learning Model Explanation Apparatus and Methods

Номер патента: US20200074331A1. Автор: Dustin Arendt,Zhuanyi Huang. Владелец: Battelle Memorial Institute Inc. Дата публикации: 2020-03-05.

Estimating uncertainty in predictions generated by machine learning models

Номер патента: EP4413499A1. Автор: Tathagata Banerjee,Matthew Edward Kollada,Amirsina Torfi,Peter Crocker. Владелец: Neumora Therapeutics Inc. Дата публикации: 2024-08-14.

Database query processing for hardware component identification using multi-ordered machine learning models

Номер патента: US20240228058A1. Автор: Jason W Buhro,Heather O Levesque,Lisa K Garcia,Ashley B Neeley,Sean M Lanagan,John P Herrman. Владелец: Camp Systems International Inc. Дата публикации: 2024-07-11.

Dynamic Machine Learning Model Selection

Номер патента: US20210264025A1. Автор: Aankur Bhatia,Gary I. Givental,Joel Rajakumar. Владелец: International Business Machines Corp. Дата публикации: 2021-08-26.

Privacy enhanced machine learning

Номер патента: WO2021055046A1. Автор: Olga Ohrimenko,Sebastian TSCHIATSCHEK,Shruti Shrikant Tople. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2021-03-25.

Determining feature impact within machine learning models using prototypes across analytical spaces

Номер патента: US20200234158A1. Автор: Joshua Sweetkind-Singer,Deepak Pai,Debraj Basu. Владелец: Adobe Inc. Дата публикации: 2020-07-23.

Machine learning system for automated recommendations of evidence during dispute resolution

Номер патента: US20240289807A1. Автор: Anthony Ross,Raymond Buhr. Владелец: PayPal Inc. Дата публикации: 2024-08-29.

Refactoring code using a machine learning model

Номер патента: US20240289126A1. Автор: Kavitha Srinivas,Julian Timothy Dolby,Martin Hirzel,Kiran A. Kate,Jason Tsay. Владелец: International Business Machines Corp. Дата публикации: 2024-08-29.

Systems and methods for revocation and training of machine learning models

Номер патента: WO2024160592A1. Автор: Rajendra Singh Sisodia,Raghavendra RAO KRUPASHANKAR RAO,Varsha KAKATHKAR,Balakrishnan VINCHU SUBRAMANIAN,Shivani GOYAL,Sunil Mandhan. Владелец: KONINKLIJKE PHILIPS N.V.. Дата публикации: 2024-08-08.

Systems and methods for consent revocation and training of machine learning models

Номер патента: EP4407521A1. Автор: Rajendra Singh Sisodia,Raghavendra RAO KRUPASHANKAR RAO,Varsha KAKATHKAR,Balakrishnan VINCHU SUBRAMANIAN,Shivani GOYAL,Sunil Mandhan. Владелец: Koninklijke Philips NV. Дата публикации: 2024-07-31.

Method and system for optimizing training of a machine learning model

Номер патента: US20240119349A1. Автор: Madhusudan Singh,Mridul Balaraman,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L&T Technology Services Ltd. Дата публикации: 2024-04-11.

Stochastic data augmentation for machine learning

Номер патента: EP3789924A1. Автор: Dan Zhang,Emiel Hoogeboom. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2021-03-10.

System and method for machine learning for system deployments without performance regressions

Номер патента: US11748350B2. Автор: Shi Qiao,Abhishek Roy,Soundararajan Srinivasan,Marc T. Friedman,Alekh Jindal,Irene Rogan Shaffer,Hiren Shantilal Patel,Gilbert Antonius,Markus Weimer,Remmelt Herbert Lieve Ammerlaan,Lucas Rosenblatt,Vijay Kumar Ramani,Peter Orenberg,H M Sajjad Hossain. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2023-09-05.

Privacy enhanced machine learning

Номер патента: US11366980B2. Автор: Olga Ohrimenko,Sebastian TSCHIATSCHEK,Shruti Shrikant Tople. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2022-06-21.

Hybrid machine learning architecture and associated methods

Номер патента: US20230385384A1. Автор: Gregor PAVLIN,Lennard JANSEN,Franck MIGNET. Владелец: Thales Nederland BV. Дата публикации: 2023-11-30.

Machine learning database memory use prediction and adaptation

Номер патента: US20230376202A1. Автор: Jing He,Xiaotao Wang. Владелец: SAP SE. Дата публикации: 2023-11-23.

Training and executing machine-learning models for building data conversion

Номер патента: US20240273405A1. Автор: Aditya Ranjan,Gregory A. Makowski,Abhishek Uday Khardenavis,Risavsingh Virendrakumar Saingar. Владелец: Tyco Fire and Security GmbH. Дата публикации: 2024-08-15.

Machine learning model lineage tracking

Номер патента: US20240273397A1. Автор: Wei Hao,Amar Phanishayee,Deepak Narayanan,Daniel Marcos MENDOZA. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-08-15.

Techniques for balancing dynamic inferencing by machine learning models

Номер патента: US20240231928A1. Автор: Jason Lavar Clemons,Kavya Sreedhar. Владелец: Nvidia Corp. Дата публикации: 2024-07-11.

Computer-readable recording medium storing machine learning program, machine learning method, and machine learning device

Номер патента: US20240193479A1. Автор: Masahiro Asaoka,Tsuguchika Tabaru. Владелец: Fujitsu Ltd. Дата публикации: 2024-06-13.

Machine-learning model that recommends virtual experiences based on graphs and clustering

Номер патента: US20240177013A1. Автор: Xiaohong Gong,Xusheng Sun,Nemanja Petrovic,Shervin SHAHIDI,Nipun PARASRAMPURIA,Nishanth Rao Palimar RAGHUPATHI. Владелец: Roblox Corp. Дата публикации: 2024-05-30.

Method and system for interpreting machine learning model's prediction

Номер патента: US20230306308A1. Автор: Mustafa Joherbhai Fatakdawala,Kavita Suresh Parab. Владелец: Tata Consultancy Services Ltd. Дата публикации: 2023-09-28.

Virtualized computing resource management for machine learning model-based processing in computing environment

Номер патента: US20230273837A1. Автор: Victor Fong. Владелец: Dell Products LP. Дата публикации: 2023-08-31.

Machine learned model for generating opinionated threat assessments of security vulnerabilities

Номер патента: US12093397B1. Автор: Wah-Kwan Lin. Владелец: Rapid7 Inc. Дата публикации: 2024-09-17.

Validation of machine learning models using coreset trees

Номер патента: WO2024150230A1. Автор: Eitan NETZER,Oren Netzer,Liran SIGALAT. Владелец: Dataheroes, Ltd.. Дата публикации: 2024-07-18.

Machine learning for vehicle allocation

Номер патента: AU2021364386B2. Автор: Mashhur Zarif Haque,Kyri Elyse Barton,Kevin Michael Burke. Владелец: Driverdo LLC. Дата публикации: 2024-09-05.

Mixed-precision quantization in machine learning using model sensitivity and constrained optimization

Номер патента: WO2024186332A1. Автор: Markus Nagel,Marinus Willem VAN BAALEN,Jorn Wilhelmus Timotheus PETERS,Marios FOURNARAKIS. Владелец: QUALCOMM INCORPORATED. Дата публикации: 2024-09-12.

Determining associations between objects and persons using machine learning models

Номер патента: US12087077B2. Автор: Parthasarathy Sriram,Farzin Aghdasi,Fnu RATNESH KUMAR,Anil Ubale,Yan Zhai,Subhashree Radhakrishnan. Владелец: Nvidia Corp. Дата публикации: 2024-09-10.

Machine-learning-enabled predictive biomarker discovery and patient stratification using standard-of-care data

Номер патента: WO2024173610A1. Автор: Christopher Probert,Daphne Koller,Anna Shcherbina,Zachary Ryan MCCAW. Владелец: Insitro, Inc.. Дата публикации: 2024-08-22.

Apparatus and methods for training an educational machine-learning model

Номер патента: US20240311688A1. Автор: Michael Everest. Владелец: Edyou. Дата публикации: 2024-09-19.

Method for providing a training dataset for training and/or testing a machine learning model, method for training a machine learning model, and method for predicting timing and/or resource requirements of an unknown application running on an industrial automation and control system platform

Номер патента: WO2023156494A1. Автор: Pengcheng HUANG,Thanikesavan Sivanthi,Andrea RUEETSCHI,Georgia Giannopoulou,Oliver SCHEUSS. Владелец: ABB Schweiz AG. Дата публикации: 2023-08-24.

Calibrating pathogencity scores from a variant pathogencity machine-learning model

Номер патента: WO2024182530A1. Автор: Kai-How FARH,Tobias Hamp,Jeffrey Mark EDE. Владелец: Illumina, Inc.. Дата публикации: 2024-09-06.

Method and system for optimizing training of a machine learning model

Номер патента: EP4360015A1. Автор: Madhusudan Singh,Mridul Balaraman,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L & T Technology Services Ltd. Дата публикации: 2024-05-01.

Method and system for optimizing training of a machine learning model

Номер патента: WO2022269367A1. Автор: Mridul Balaraman,Dr. Madhusudan SINGH,Ishita DAS,Sukant DEBNATH,Guneet Singh TANDON. Владелец: L & T Technology Services Limited. Дата публикации: 2022-12-29.

System and method for machine learning for system deployments without performance regressions

Номер патента: US12093255B2. Автор: Shi Qiao,Abhishek Roy,Soundararajan Srinivasan,Marc T. Friedman,Alekh Jindal,Irene Rogan Shaffer,Hiren Shantilal Patel,Gilbert Antonius,Markus Weimer,Remmelt Herbert Lieve Ammerlaan,Lucas Rosenblatt,Vijay Kumar Ramani,Peter Orenberg,H M Sajjad Hossain. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-09-17.

Machine learning model lineage tracking

Номер патента: WO2024173449A1. Автор: Wei Hao,Amar Phanishayee,Deepak Narayanan,Daniel Marcos MENDOZA. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2024-08-22.

Machine learning for vehicle allocation

Номер патента: AU2021364386A9. Автор: Mashhur Zarif Haque,Kyri Elyse Barton,Kevin Michael Burke. Владелец: Driverdo LLC. Дата публикации: 2024-09-19.

Aufbereitung der von einem Machine Learning-Modell ermittelten Schätzungen für Objekteigenschaften

Номер патента: DE102023200471A1. Автор: Gor Hakobyan,Christian Weiss,Axel Javier ACOSTA APONTE,Johannes Benz. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-07-25.

Real-time predictions based on machine learning models

Номер патента: US12106199B2. Автор: Arun Kumar Jagota,Kaushal Bansal,Rakesh Ganapathi Karanth,Amrita Dasgupta. Владелец: Salesforce Inc. Дата публикации: 2024-10-01.

Utilizing a machine learning model for predicting issues associated with a closing process of an entity

Номер патента: US12112388B2. Автор: Kaushik Dey,Chiranjit SEAL,Bula ROY,Atrayee CHATTERJEE,Punitha NITHYANANDAM. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-10-08.

Machine learning model for calculating confidence scores associated with potential security vulnerabilities

Номер патента: US12118095B1. Автор: Stuart Millar,Denis Podgurskii. Владелец: Rapid7 Inc. Дата публикации: 2024-10-15.

Apparatus and methods for training an educational machine-learning model

Номер патента: WO2024192244A2. Автор: Michael Everest. Владелец: Edyou. Дата публикации: 2024-09-19.

Calibrating pathogenicity scores from a variant pathogenicity machine-learning model

Номер патента: WO2024182530A9. Автор: Kai-How FARH,Tobias Hamp,Jeffrey Mark EDE. Владелец: Illumina, Inc.. Дата публикации: 2024-10-10.

Systems and methods for outlier detection using unsupervised machine learning models trained on oversampled data

Номер патента: US20240346506A1. Автор: Hassan Shallal,Rajesh Kanna Durairaj. Владелец: Capital One Services LLC. Дата публикации: 2024-10-17.

Determining Machine Learning Model Performance on Unlabeled Out Of Distribution Data

Номер патента: US20240289685A1. Автор: John Sullivan,Michael Louis WICK,Swetasudha Panda,Ariel Kobren. Владелец: Oracle International Corp. Дата публикации: 2024-08-29.

Training of a machine learning model for use in medical imaging applications based on combinations of incomplete sample sets and sample images simulated therefrom

Номер патента: WO2024213657A1. Автор: Sonia Colombo Serra,Fabio Tedoldi,Giovanni VALBUSA,Alberto FRINGUELLO MINGO,Davide BELLA. Владелец: BRACCO IMAGING S.P.A.. Дата публикации: 2024-10-17.

Multi-objective bayesian optimization of machine learning model for autonomous vehicle operation

Номер патента: US12128923B2. Автор: Burkay Donderici,Siyuan Lu,Jeremy Adam Malloch. Владелец: GM Cruise Holdings LLC. Дата публикации: 2024-10-29.

Apparatus and methods for training an educational machine-learning model

Номер патента: WO2024192244A3. Автор: Michael Everest. Владелец: Edyou. Дата публикации: 2024-10-24.

Hyper parameter tuning for machine learning models

Номер патента: US12086725B2. Автор: Nickolas Kavantzas,Someshwar Maroti Kale,Vijayalakshmi Krishnamurthy,Sujay Sarkhel,Amit VAID,Vidya Mani,Suresh Kumar Golconda,Mohan U. Kamath,Neelesh Kumar Shukla. Владелец: Oracle International Corp. Дата публикации: 2024-09-10.

Methods, systems and computer programs for processing images of an optical imaging device and for training one or more machine-learning models

Номер патента: EP4439493A1. Автор: Constantin Kappel. Владелец: Leica Microsystems CMS GmbH. Дата публикации: 2024-10-02.

Method for training a machine learning model

Номер патента: US20240370773A1. Автор: Valentin Loeffelmann,Ilya KAMENSHCHIKOV,Felix Milo Richter,Felix Berkenkamp,Diane Sabine Staudt. Владелец: ROBERT BOSCH GMBH. Дата публикации: 2024-11-07.

Machine-learning-based visual-haptic system for robotic surgical platforms

Номер патента: US12108928B2. Автор: Jagadish Venkataraman,Denise Ann Miller. Владелец: Verb Surgical Inc. Дата публикации: 2024-10-08.

Predictive assignments that relate to genetic information and leverage machine learning models

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Methods and systems for predicting prescription directions using machine learning algorithm

Номер патента: US12118468B2. Автор: Sudipto Dey,Pulla Reddy P. Yeduru. Владелец: Express Scripts Strategic Development Inc. Дата публикации: 2024-10-15.

Mask correction method, mask correction device for double patterning and training method for layout machine learning model

Номер патента: US12147155B2. Автор: Chung-Yi Chiu,Min-Cheng Yang. Владелец: United Microelectronics Corp. Дата публикации: 2024-11-19.

Runtime-specific partitioning of machine learning models

Номер патента: US20230281463A1. Автор: Priyanka KULKARNI,Laurie BYRUM,Curtis Wigington,Matthew Crosby,Pallav Vyas. Владелец: Adobe Inc. Дата публикации: 2023-09-07.

Integration verteilter Machine-Learning Modelle

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Decentralized federated machine-learning by selecting participating worker nodes

Номер патента: EP4172867A1. Автор: Konstantinos Vandikas,Selim ICKIN,Farnaz MORADI,Wenfeng Hu,Jalil TAGHIA. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2023-05-03.

Decentralized federated machine-learning by selecting participating worker nodes

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Systems and methods for machine-learned models having convolution and attention

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Compression of Machine-Learned Models via Entropy Penalized Weight Reparameterization

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Technologies for using machine learning to assess contract pricing

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Sales orchestration using iterative machine learning

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Machine learning model for stratification of early diabetic foot complication using thermogram images

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Adaptive batching for optimizing execution of machine learning tasks

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Surgical computing system with support for interrelated machine learning models

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Geotechnical ground information prediction using machine learning

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Apparatus and method for measuring location of user equipment located indoors in wireless network

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Wearable silent speech device, systems, and methods for adjusting a machine learning model

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Facilitating hydrocarbon exploration and extraction by applying a machine-learning model to seismic data

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Training dataset generation process for moment tensor machine learning inversion models

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Oligonucleotide-based machine learning

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System, method, and computer readable medium configured to use machine learning models to determine optimal synthetic routes

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Machine learning model generation apparatus, machine learning model generation method, and non-transitory computer readable medium

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Methods and mechanisms for modifying machine-learning models for new semiconductor processing equipment

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Computer-implemented method for training of a machine learning model in accident event assessment

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Predicting onset and progression of neurodegenerative diseases using blood test data and machine learning models

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Systems and methods for predicting corneal improvement from scheimpflug imaging using machine learning

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Systems and methods for predicting corneal improvement from scheimpflug imaging using machine learning

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Machine learning for predictive in-flight alerts

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Using machine learning to recognize variant objects

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Machine-learning based methods of probe microscopy

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Machine learning for antibody discovery and uses thereof

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Werkergegenstandsaufbewahrungsvorrichtung, verfahren zur beurteilung des beladungszustands einer aufnahmevorrichtung und verfahren zum erstellen eines machine learning modells

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Machine-learning modeling to generate virtual bolus attributes

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Machine learning models for asset optimization within industrial automation environments

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Predicting disease progression in portal hypertension using machine learning

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Multi-head machine learning model for processing multi-sensor data

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Training Action Prediction Machine-Learning Models for Video Games with Healed Data

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