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. 06, 2025

Filed:

Jan. 30, 2018
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Calvin Yue-Ren Kuo, Mercer Island, WA (US);

Jiazhen Chen, Bellevue, WA (US);

Jingwei Sun, Issaquah, WA (US);

Haiyang Liu, Issaquah, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2018.12); G06F 8/60 (2017.12); G06F 18/214 (2022.12); G06N 5/04 (2022.12); H04W 4/38 (2017.12);
U.S. Cl.
CPC ...
G06N 20/00 (2018.12); G06F 8/60 (2012.12); G06F 18/214 (2022.12); G06N 5/04 (2012.12); H04W 4/38 (2018.01);
Abstract

A provider network implements a machine learning deployment service for generating and deploying packages to implement machine learning at connected devices. The service may receive from a client an indication of an inference application, a machine learning framework to be used by the inference application, a machine learning model to be used by the inference application, and an edge device to run the inference application. The service may then generate a package based on the inference application, the machine learning framework, the machine learning model, and a hardware platform of the edge device. To generate the package, the service may optimize the model based on the hardware platform of the edge device and/or the machine learning framework. The service may then deploy the package to the edge device. The edge device then installs the inference application and performs actions based on inference data generated by the machine learning model.


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