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. 07, 2023

Filed:

Feb. 25, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Jim Gao, Menlo Park, CA (US);

Christopher Gamble, London, GB;

Amanda Gasparik, Philadelphia, PA (US);

Vedavyas Panneershelvam, London, GB;

David Barker, Reading, GB;

Dustin Reishus, Mountain View, CA (US);

Abigail Ward, Mountain View, CA (US);

Jerry Luo, Mountain View, CA (US);

Brian Kim, Sunnyvale, CA (US);

Mark Schwabacher, Santa Clara, CA (US);

Stephen Webster, San Mateo, CA (US);

Timothy Jason Kieper, Beacon, NY (US);

Daniel Fuenffinger, Bellevue, NE (US);

Zakerey Bennett, London, GB;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 3/46 (2006.01); G06Q 10/04 (2023.01); G06Q 10/10 (2023.01); G05B 19/4155 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05B 19/4155 (2013.01); G06N 20/00 (2019.01); G05B 2219/40499 (2013.01);
Abstract

Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.


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