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公开(公告)号:US11430171B2
公开(公告)日:2022-08-30
申请号:US16231059
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Timothy J. Meo , Xiao Lin
IPC: G06F16/738 , G06T13/80 , G06N3/04 , G06N3/08 , G06N20/00 , G06K9/62 , G06F16/34 , G06F16/901 , G06T13/40 , G06T7/246 , G06F40/205 , G06V20/40 , G06V40/20
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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公开(公告)号:US10825227B2
公开(公告)日:2020-11-03
申请号:US16230987
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Alex C. Tozzo , Dejan Jovanovic , Timothy J. Meo
IPC: G06T13/80 , G06N3/04 , G06N3/08 , G06K9/00 , G06F16/738 , G06N20/00 , G06K9/62 , G06F16/34 , G06F16/901 , G06T13/40 , G06T7/246 , G06F40/205
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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3.
公开(公告)号:US20230394413A1
公开(公告)日:2023-12-07
申请号:US18330930
申请日:2023-06-07
Applicant: SRI International
Inventor: Subhodev Das , Aswin Nadamuni Raghavan , Avraham Joshua Ziskind , Timothy J. Meo , Bhoram Lee , Chih-hung Yeh , John Cadigan , Ali Chaudhry , Jonathan C. Balloch
IPC: G06Q10/0637
CPC classification number: G06Q10/06375
Abstract: In general, the disclosure describes techniques for Artificial Intelligence (AI) models that can automatically generate diverse, explainable, interpretable, reactive, and coordinated behaviors for a team. In an example, a method includes receiving multimodal input data within a simulator configured to simulate solving a predefined problem by a team including a plurality of agents; generating one or more generative neural network models based on the multimodal input data and based on a predetermined threshold of success of problem solving in the simulator; outputting, by the one or more generative neural network models, one or more multi-agent controllers, wherein each of the one or more multi-agent controllers comprises recommended behaviors for each of the plurality of agents to solve the predefined problem in a manner that is consistent with the multimodal input data.
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公开(公告)号:US20190304156A1
公开(公告)日:2019-10-03
申请号:US16230987
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Alex C. Tozzo , Dejan Jovanovic , Timothy J. Meo
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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公开(公告)号:US20190303404A1
公开(公告)日:2019-10-03
申请号:US16231059
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Timothy J. Meo , Xiao Lin
IPC: G06F16/738 , G06K9/62 , G06N20/00
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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公开(公告)号:US10789755B2
公开(公告)日:2020-09-29
申请号:US16230945
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Timothy J. Meo , Aswin Nadamuni Raghavan , Alex C. Tozzo , Amir Tamrakar , David A. Salter , Kyung-Yoon Kim
IPC: G06T13/80 , G06N3/04 , G06N3/08 , G06K9/00 , G06F16/738 , G06N20/00 , G06K9/62 , G06F16/34 , G06F16/901 , G06T13/40 , G06T7/246 , G06F40/205
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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公开(公告)号:US20190304157A1
公开(公告)日:2019-10-03
申请号:US16230945
申请日:2018-12-21
Applicant: SRI International
Inventor: Mohamed R. Amer , Timothy J. Meo , Aswin Nadamuni Raghavan , Alex C. Tozzo , Amir Tamrakar , David A. Salter , Kyung-Yoon Kim
Abstract: This disclosure describes techniques that include generating, based on a description of a scene, a movie or animation that represents at least one possible version of a story corresponding to the description of the scene. This disclosure also describes techniques for training a machine learning model to generate predefined data structures from textual information, visual information, and/or other information about a story, an event, a scene, or a sequence of events or scenes within a story. This disclosure also describes techniques for using GANs to generate, from input, an animation of motion (e.g., an animation or a video clip). This disclosure also describes techniques for implementing an explainable artificial intelligence system that may provide end users with information (e.g., through a user interface) that enables an understanding of at least some of the decisions made by the AI system.
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