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

IPC: G06T13/40 ,  G06K9/00 ,  G06N3/04 ,  G06F16/901 ,  G06F16/34 ,  G06N3/08

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.

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.

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

IPC: G06T13/80 ,  G06F17/27 ,  G06K9/00 ,  G06N3/08 ,  G06N3/04

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.

公开(公告)号：US20240403649A1

公开(公告)日：2024-12-05

申请号：US18520800

申请日：2023-11-28

Applicant: SRI International

Inventor： Han-Pang Chiu ,  Yi Yao ,  Zachary Seymour ,  Alex Krasner ,  Bradley J. Clymer ,  Michael A. Cogswell ,  Cecile Eliane Jeannine Mackay ,  Alex C. Tozzo ,  Tixiao Shan ,  Philip Miller ,  Chuanyong Gan ,  Glenn A. Murray ,  Richard Louis Ferranti ,  Uma Rajendran ,  Supun Samarasekera ,  Rakesh Kumar ,  James Smith

IPC: G06N3/0895

Abstract: In an example, a system includes processing circuitry in communication with storage media. The processing circuitry is configured to execute a machine learning system including at least a first module, a second module and a third module. The machine learning system is configured to train one or more machine learning models. The first module is configured to generate augmented input data based on the streaming input data. The second module includes a machine learning model configured to perform a specific task based at least in part on the augmented input data. The third module configured to adapt a network architecture of the one or more machine learning models based on changes in the streaming input data.

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.