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:
Jan. 07, 2025

Filed:

Apr. 22, 2021
Applicant:

Latent Ai, Inc., Menlo Park, CA (US);

Inventors:

Sek Meng Chai, Princeton, NJ (US);

Jagadeesh Kandasamy, Cupertino, CA (US);

Assignee:

Latent AI, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/768 (2022.01);
Abstract

The disclosed embodiments relate to a system that generates and executes a deep neural network (DNN) based on target runtime parameters. During operation, the system receives a trained original model and a set of target runtime parameters for the DNN, wherein the target runtime parameters are associated with one or more of the following for the DNN: desired operating conditions, desired resource utilization, and desired accuracy of results. Next, the system generates a context-specific model based on the original model and the set of target runtime parameters. The system also generates an operational plan for executing both the original model and the context-specific model to meet requirements of the target runtime parameters. Finally, the system controls execution of the original model and the context-specific model based on the operational plan.


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