Training a character through interactions.

Training a character through interactions

Номер патента: US12056581B1
Опубликовано: 06-08-2024
Автор(ы): Bo Morgan, Mark E. Drummond, Novaira Masood, Shem Nguyen
Принадлежит: Apple Inc
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

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Autonomous vehicle system for intelligent on-board selection of data for training a remote machine learning model

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Method for training a decision-making model with natural language corpus

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Computer-implemented method for training a model, method for controlling, assistance and classification system

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Device and method for training a machine learning system for generating images

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Methods and apparatus to train a machine learning model

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Systems and methods for training a scene simulator using real and simulated agent data

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Method and device for training a classification model

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Device and method for training a machine learning system for generating images

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Device and method for training a machine learning system for generating images

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Systems and methods for training a style model

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Determining sectors of a track to stage into cache by training a machine learning module

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Method for training a hybrid classical-quantum approximation system

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Method for Training a Classifier to Ascertain a Handheld Machine Tool Device State

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Selecting a disconnect from different types of channel disconnects by training a machine learning module

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Apparatus and computer-implemented method for training a machine learning system for mapping a scan study to a standardized identifier code

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Using semi-supervised label procreation to train a risk determination model

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Systems and methods for training a statistical model to predict tissue characteristics for a pathology image

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Training a neural network using contrastive samples for macro placement

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Method for training a robust deep neural network model

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Method and processing device for training a neural network

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Training a machine learning algorithm and predicting a value for a weather data variable, especially at a field or sub-field level

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