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:
Oct. 04, 2022

Filed:

May. 08, 2018
Applicant:

Sri International, Menlo Park, CA (US);

Inventors:

John Byrnes, Poway, CA (US);

Richard Rohwer, San Diego, CA (US);

Assignee:

SRI International, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 16/242 (2019.01); G06F 16/22 (2019.01); G06N 3/04 (2006.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/2246 (2019.01); G06F 16/243 (2019.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06Q 10/10 (2013.01);
Abstract

An artificial intelligence engine that has two or more modules cooperating with each other in order to create one or more machine learning models that use an adaptive semantic learning for knowledge representations and reasoning. The modules cause encoding the representations and reasoning from one or more sources in a particular field with terminology used by one or more human sources in that field into a set of rules that act as constraints and that are graphed into a neural network understandable by a first machine learning model, and then ii) adapting an interpretation of that set of encoded rules. The understanding of that set of encoded rules is adapted by i) allowing for semantically similar terms and ii) by conclusions derived from training data, to create an understanding of that set of encoded rules utilized by the machine learning model and the AI engine.


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