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US 12,705,480 B2Granted
Device and method using machine learning model shared by plurality of applications
AssigneeSamsung Electronics Co., Ltd.
InventorsHyeonsu Lee, Mooyoung Kim
Life of this patent
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Abstract
An electronic device may map a target application to a machine learning model matched to a request of the target application among a plurality of machine learning models, may generate an inference result for sensing data corresponding to the machine learning model based on the sensing data being sensed by the at least one sensor, and may transfer the generated inference result to at least one of the target application and another application.
Claims18
An electronic device comprising:
- at least one processor comprising processing circuitry;
- at least one sensor configured to sense sensing data,
- memory comprising a storage device storing instructions, that when executed by the at least one processor individually or collectively, cause the electronic device to:
- map a target application to a machine learning model matched to a request of the target application among a plurality of machine learning models;
- based on sensing data corresponding to the machine learning model being sensed by the at least one sensor and the target application being deactivated, generate an inference result by applying the mapped machine learning model to the sensing data before the target application is activated;
- activate the target application based on the inference result;
- and
- transfer the generated inference result to the target application and another application mapped to the machine learning model.
5 more elements
A method implemented by at least one processor, the method comprising:
- mapping a target application to a machine learning model matched to a request of the target application among a plurality of machine learning models;
- based on sensing data corresponding to the machine learning model being sensed by at least one sensor and the target application being deactivated, generating an inference result by applying the mapped machine learning model to the sensing data before the target application is activated;
- activating the target application based on the inference result;
- and
- transferring the generated inference result to the target application and another application mapped to the machine learning model.
2 more elements
Dependencies are inferred from the claim text.