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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 11842172 B1

PDFFull Text
Date of Patent:
Dec. 12, 2023

Filed:

Apr. 21, 2020

Graphical user interface to an artificial intelligence engine utilized to generate one or more trained artificial intelligence models

Applicant:

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

Inventors:

Mark Isaac Hammond, Berkeley, CA (US);

Keen Mcewan Browne, Berkeley, CA (US);

Mike Estee, Oakland, CA (US);

Clara Kliman-Silver, Berkeley, CA (US);

Assignee:

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

Attorney:

Alleman Hall Creasman & Tuttle LLP

Primary Examiner:

Daniel Abebe

Int. Cl.
CPC ...
G06F 8/30 (2018.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01); G06F 16/22 (2019.01); G06F 8/38 (2018.01); G06Q 10/00 (2023.01); G06N 3/10 (2006.01); G06F 30/20 (2020.01); H04L 67/01 (2022.01); G06F 9/50 (2006.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 9/451 (2018.01); G06F 3/0482 (2013.01); G06N 3/008 (2023.01); G06N 5/04 (2023.01); G06F 9/48 (2006.01); G06F 15/80 (2006.01); G06K 9/62 (2022.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01); G06F 3/0354 (2013.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); 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 9/5066 (2013.01); G06F 15/80 (2013.01); G06F 16/2228 (2019.01); G06F 16/951 (2019.01); G06F 30/20 (2020.01); G06K 9/6257 (2013.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/105 (2013.01); G06N 5/04 (2013.01); G06Q 10/00 (2013.01); H04L 67/01 (2022.05); G06F 3/03543 (2013.01); G06F 30/333 (2020.01); G06F 40/166 (2020.01);
Abstract

A computing system includes a processor, and a storage device holding instructions executable by the processor. The instructions are executable to receive a source code through an application programming interface ('API') exposed to a graphical user interface ('GUI'). The GUI is configured to enable an author to define a proposed model with a pedagogical programming language, the proposed model including an input, one or more concept nodes, and an output. The GUI is further configured to enable the author to provide a program annotation indicating an execution behavior for the source code, to generate an assembly code from the source code with a compiler of an artificial intelligence ('AI') engine configured to work with the GUI; and to build an executable, trained AI model including a neural-network layout having one or more layers derived from the assembly code.

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