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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.

Patent No.:

US 12039413 B1

PDFFull Text
Date of Patent:
Jul. 16, 2024

Filed:

Sep. 18, 2017

Cognitive modeling apparatus including multiple knowledge node and supervisory node devices

Applicant:

Scianta Analytics, Llc, Delaray Beach, FL (US);

Inventors:

Michael E. Cormier, Delray Beach, FL (US);

Earl D. Cox, Delray Beach, FL (US);

William E. Thackrey, Delray Beach, FL (US);

Joseph McGlynn, Delray Beach, FL (US);

Harry Gardner, Delray Beach, FL (US);

Assignee:

Blue Voyant, New York, NY (US);

Attorney:

Smyrski & Patent Law PC

Primary Examiner:

Li B Zhen

Assistant Examiner:

Henry Nguyen

Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/27 (2019.01); G06N 3/043 (2023.01); G06N 3/126 (2023.01); G06N 5/02 (2023.01); G06N 5/022 (2023.01); G06N 5/025 (2023.01); G06N 5/043 (2023.01); G06N 5/048 (2023.01); G06N 7/01 (2023.01); G06N 7/02 (2006.01); G06N 7/04 (2006.01); G05B 17/02 (2006.01); G06F 17/15 (2006.01); G06F 17/18 (2006.01); G06F 18/2411 (2023.01); G06F 18/2433 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/27 (2019.01); G06N 3/043 (2023.01); G06N 5/02 (2013.01); G06N 5/022 (2013.01); G06N 5/025 (2013.01); G06N 5/043 (2013.01); G06N 5/048 (2013.01); G06N 7/01 (2023.01); G06N 7/02 (2013.01); G06N 7/046 (2013.01); G05B 17/02 (2013.01); G06F 17/15 (2013.01); G06F 17/18 (2013.01); G06F 18/2411 (2023.01); G06F 18/2433 (2023.01); G06N 3/126 (2013.01);
Abstract

The present design is directed to a series of interconnected compute servers including a supervisory hardware node and a plurality of knowledge hardware nodes, wherein the series of interconnected compute servers are configured to categorize and scale performance of multiple disjoint algorithms across a seemingly infinite actor population, wherein the series of interconnected compute servers are configured to normalize data using a common taxonomy, distribute normalized data relatively evenly across the plurality of knowledge hardware nodes, supervise algorithm execution across knowledge hardware nodes, and collate and present results of analysis of the seemingly infinite actor population.

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