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:
Jun. 06, 2023

Filed:

Nov. 17, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chun-Te Chu, Bellevue, WA (US);

Claire Jaja, Seattle, WA (US);

Kara Vaillancourt, Seattle, WA (US);

Oleg Veryovka, Seattle, WA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 3/082 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/20 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/285 (2023.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01);
Abstract

Methods, systems, and computer-readable media for multi-model processing on resource-constrained devices. A resource-constrained device can determine, based on a battery-life for a battery of the device, whether to process input through a first model or a second model. The first model can be a gating model that is more energy efficient to execute, and the second model can be a main model that is more accurate than the gating model. Depending on the current battery-life and/or other criteria, the system can process, through the gating model, sensor input that can record activity performed by a user of the resource-constrained device. If the gating model predicts an activity performed by the user that is recorded by the sensor data, the device can process the same or additional input through the main model. Overall power consumption can be reduced with a minimum accuracy maintained over processing input only through the main model.


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