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:
Aug. 11, 2020

Filed:

Oct. 30, 2017
Applicant:

The Aerospace Corporation, El Segundo, CA (US);

Inventors:

Terence S. Yeoh, Pasadena, CA (US);

Nehal Desai, El Segundo, CA (US);

Assignee:

The Aerospace Corporation, El Segundo, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06K 9/52 (2006.01);
U.S. Cl.
CPC ...
G06K 9/4628 (2013.01); G06K 9/527 (2013.01); G06K 9/6219 (2013.01); G06K 9/6247 (2013.01); G06K 9/6274 (2013.01); G06N 3/04 (2013.01); G06N 3/084 (2013.01); G06K 2009/6213 (2013.01);
Abstract

An architecture and process are provided that encodes information into a cellular automata memory structure such that it can be recalled utilizing unique memory anchors (engrams) in a manner that both identifies and relates each piece of information relative to other data points. The automata may be individually programmable with a limited, local ruleset that activates other cellular automata based on prior patterns that were fed into the array. Deep Learning Neural Network (DLNN) systems may be probed to understand what discriminators are being used to classify the data, which is not possible with conventional DLNN techniques.


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