The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 12, 2026

Filed:

May. 31, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Jonathon Shlens, San Francisco, CA (US);

Vijay Vasudevan, Los Altos Hills, CA (US);

Jiquan Ngiam, Mountain View, CA (US);

Benjamin James Caine, San Francisco, CA (US);

Zhengdong Zhang, Mountain View, CA (US);

Zhifeng Chen, Sunnyvale, CA (US);

Hao-Tien Chiang, Sunnyvale, CA (US);

David Joseph Weiss, Wayne, PA (US);

Jeffrey Ling, Brooklyn, NY (US);

Ashish Venugopal, Jersey City, NJ (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/049 (2023.01);
U.S. Cl.
CPC ...
G06N 3/047 (2023.01); G06N 3/045 (2023.01); G06N 3/049 (2013.01);
Abstract

A method for performing one or more tasks, wherein each of the one or more tasks includes predicting behavior of one or more agents in an environment, the method comprising: obtaining a three-dimensional (3D) input tensor representing behaviors of the one or more agents in the environment across a plurality of time steps; generating an encoded representation of the 3D input tensor by processing the 3D input tensor using an encoder neural network, wherein 3D input tensor comprises a plurality of observed cells and a plurality of masked cells; and processing the encoded representation of the 3D input tensor using a decoder neural network to generate a 4D output tensor.


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