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:
Apr. 04, 2023

Filed:

Jan. 29, 2020
Applicant:

X Development Llc, Mountain View, CA (US);

Inventors:

Sarah Ann Laszlo, Mountain View, CA (US);

Philip Edwin Watson, Santa Cruz, CA (US);

Georgios Evangelopoulos, Venice, CA (US);

Assignee:

X Development LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/006 (2023.01); G06N 3/08 (2023.01); G06K 9/62 (2022.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); G06V 10/426 (2022.01);
U.S. Cl.
CPC ...
G06N 3/006 (2013.01); G06K 9/6217 (2013.01); G06K 9/6262 (2013.01); G06K 9/6267 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/426 (2022.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a neural network architecture for performing a machine learning task. In one aspect, a method comprises: obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in a brain of a biological organism; generating data defining a plurality of candidate graphs based on the synaptic connectivity graph; determining, for each candidate graph, a performance measure on a machine learning task of a neural network having a neural network architecture that is specified by the candidate graph; and selecting a final neural network architecture for performing the machine learning task based on the performance measures.


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