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:
Mar. 03, 2026

Filed:

Nov. 01, 2022
Applicants:

Ford Global Technologies, Llc, Dearborn, MI (US);

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Xinru Hua, Redwood City, CA (US);

Huanzhong Xu, Stanford, CA (US);

Jose Blanchet, Palo Alto, CA (US);

Viet Anh Nguyen, Hanoi, VN;

Marcos Paul Gerardo Castro, San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/70 (2017.01); G06V 10/74 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/70 (2017.01); G06V 10/761 (2022.01); G06T 2207/20081 (2013.01);
Abstract

A system is disclosed that includes a computer that includes a processor and a memory, the memory including instructions executable by the processor to input an image acquired by a sensor to a neural network to output a prediction regarding an object included in the image. The neural network can be trained based on (a) a distributed robust optimization that minimizes an expectation applied to probability distributions of loss functions to select training images that yield a solution with a selected uncertainty level and (b) generating additional input images based on adversarial images.


Find Patent Forward Citations

Hua, Xinru. (2026). Fair neural networks (U.S. Patent No. 12567246). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12567246

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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