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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 11868896 B1

PDFFull Text
Date of Patent:
Jan. 09, 2024

Filed:

Aug. 16, 2018

Interface for working with simulations on premises

Applicant:

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

Inventors:

Matthew Brown, Berkeley, CA (US);

Michael Estee, Oakland, CA (US);

Assignee:

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

Attorney:

Alleman Hall Creasman & Tuttle LLP

Primary Examiner:

Mia M Thomas

Int. Cl.
CPC ...
G06F 8/30 (2018.01); G06K 9/62 (2022.01); G06V 10/94 (2022.01); G06V 10/96 (2022.01); G06N 3/08 (2006.01); G06N 5/00 (2006.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01); G06N 3/10 (2006.01); G06N 3/02 (2006.01); G06N 3/00 (2006.01); G06N 3/082 (2023.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 5/01 (2023.01); G06V 10/82 (2022.01); G06N 3/006 (2023.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 8/316 (2013.01); G06F 18/2148 (2023.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/105 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 10/96 (2022.01); G06N 3/006 (2013.01); G06N 3/044 (2023.01);
Abstract

The AI engine operates with the common API. The common API supports i) any of multiple different training sources and/or prediction sources installed on ii) potentially different sets of customer computing hardware in a plurality of on-premises' environments, where the training sources, prediction sources as well as the set of customer computing hardware may differ amongst the on-premises' environments. The common API via its cooperation with a library of base classes is configured to allow users and third-party developers to interface with the AI-engine modules of the AI engine in an easy and predictable manner through the three or more base classes available from the library. The common API via its cooperation with the library of base classes is configured to be adaptable to the different kinds of training sources, prediction sources, and the different sets of hardware found a particular on-premises environment.

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