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:
Nov. 11, 2025

Filed:

Jul. 21, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Avneesh Sud, Belmont, CA (US);

Andrea Tagliasacchi, Toronto, CA;

Ben Usman, Boston, MA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G06N 5/022 (2023.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06V 10/7715 (2022.01); G06N 5/022 (2013.01); G06T 7/70 (2017.01); G06T 2207/20084 (2013.01); G06V 2201/07 (2022.01);
Abstract

Example systems perform complex optimization tasks with improved efficiency via neural meta-optimization of experts. In particular, provided is a machine learning framework in which a meta-optimization neural network can learn to fuse a collection of experts to provide a predicted solution. Specifically, the meta-optimization neural network can learn to predict the output of a complex optimization process which optimizes over outputs from the collection of experts to produce an optimized output. In such fashion, the meta-optimization neural network can, after training, be used in place of the complex optimization process to produce a synthesized solution from the experts, leading to orders of magnitude faster and computationally more efficient prediction or problem solution.


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