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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 11836650 B1

PDFFull Text
Date of Patent:
Dec. 05, 2023

Filed:

Sep. 14, 2021

Artificial intelligence engine for mixing and enhancing features from one or more trained pre-existing machine-learning models

Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Keen McEwan Browne, Berkeley, CA (US);

Marcos Campos, Carlsbad, CA (US);

Megan Adams, San Francisco, CA (US);

Mark Hammond, Berkeley, CA (US);

Matthew Brown, Berkeley, CA (US);

Tod Frye, El Cerrito, CA (US);

Assignee:

Microsoft Technology Licensing, LLC, Redmond, WA (US);

Attorney:

Alleman Hall Creasman & Tuttle LLC

Primary Examiner:

William D Titcomb

Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06Q 10/00 (2023.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/22 (2019.01); G06F 8/38 (2018.01); G06N 3/10 (2006.01); G06F 30/20 (2020.01); G06F 8/30 (2018.01); G06N 3/08 (2023.01); G06F 9/451 (2018.01); G06F 3/0482 (2013.01); G06N 3/008 (2023.01); G06N 3/04 (2023.01); G06N 5/04 (2023.01); G06F 9/48 (2006.01); G06F 15/80 (2006.01); H04L 67/01 (2022.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06V 10/94 (2022.01); G06V 10/96 (2022.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01); G06F 3/0354 (2013.01);
U.S. Cl.
CPC ...
G06Q 10/00 (2013.01); G06F 3/0482 (2013.01); G06F 8/31 (2013.01); G06F 8/311 (2013.01); G06F 8/38 (2013.01); G06F 9/451 (2018.02); G06F 9/4881 (2013.01); G06F 15/80 (2013.01); G06F 16/2228 (2019.01); G06F 16/951 (2019.01); G06F 18/2148 (2023.01); G06F 30/20 (2020.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/105 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 10/945 (2022.01); G06V 10/96 (2022.01); H04L 67/01 (2022.05); G06F 3/03543 (2013.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01);
Abstract

An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.

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