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:
May. 31, 2022

Filed:

Dec. 20, 2017
Applicant:

Petuum Inc., Pittsburgh, PA (US);

Inventors:

Qirong Ho, Pittsburgh, PA (US);

Eric Xing, Pittsburgh, PA (US);

Assignee:

Petuum Inc., Pittsburgh, PA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/61 (2018.01); G06N 5/02 (2006.01); G06F 9/46 (2006.01); G06N 5/00 (2006.01); G06F 8/76 (2018.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 8/64 (2013.01); G06F 9/46 (2013.01); G06N 5/003 (2013.01); G06N 5/022 (2013.01); G06F 8/76 (2013.01);
Abstract

Methods and systems are presented for consuming different data sources, and deploying artificial intelligence and machine learning programs on different target devices or infrastructures. Many data types can be transformed into machine learning data shards (MLDS) while many machine learning programs written in various programming languages or frameworks are transformed to common operator representations. Operator representations are transformed into execution graphs (EG) for a chosen target device or infrastructure. The MLDS and EG are input to the targeted devices and infrastructures, which then execute the machine learning programs (now transformed to EGs) on the MLDS to produce trained models or predictions with trained models.


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