公开(公告)号：US20240242060A1

公开(公告)日：2024-07-18

申请号：US18415261

申请日：2024-01-17

Applicant: SAMSUNG ELECTRONICS CO.,LTD.

Inventor： Srinivas Soumitri MIRIYALA ,  Ashutosh Pavagada VISWESWARA ,  Suhas P K ,  Vikram Nelvoy RAJENDIRAN

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: According to an embodiment of the disclosure, a method may include providing, by the electronic device, a plurality of Pareto fronts based on at least two performance parameters. The method may include identifying, by the electronic device, an optimal Pareto front from among the plurality of Pareto fronts. The method may include providing, by the electronic device, a second AI model iteratively. The method may include identifying, by the electronic device, whether the second AI model belongs to the optimal Pareto front. The method may include identifying, by the electronic device, the at least two performance parameters corresponding to the second AI model based on identifying that the second AI model belongs to the optimal Pareto front. The method may include obtaining, by the electronic device, the second AI model based on identifying that the second AI model meets one or more predetermined performance parameters.

公开(公告)号：US20220076102A1

公开(公告)日：2022-03-10

申请号：US17417189

申请日：2020-06-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Arun ABRAHAM ,  Akshay PARASHAR ,  Suhas P K ,  Vikram Nelvoy RAJ END IRAN

IPC: G06N3/04

Abstract: A method of managing deep neural network (DNN) models on a device is provided. The method includes extracting information associated with each of a plurality of DNN models, identifying, from the information, common information which is common across the plurality of DNN models, separating and storing the common information into a designated location in the device, and controlling at least one DNN model among the plurality of DNN models to access the common information.