公开(公告)号：US20240013053A1

公开(公告)日：2024-01-11

申请号：US18223888

申请日：2023-07-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Ashutosh Pavagada VISWESWARA ,  Payal Anand ,  Arun Abraham ,  Vikram Nelvoy Rajendiran ,  Rajath Elias Soans

IPC: G06N3/082 ,  G06N3/045

CPC classification number: G06N3/082 ,  G06N3/045

Abstract: Provided are systems and methods for optimizing neural networks for on-device deployment in an electronic device. A method for optimizing neural networks for on-device deployment in an electronic device includes receiving a plurality of neural network (NN) models, fusing at least two NN models from the plurality of NN models based on at least one layer of each of the at least two NN models, to generate a fused NN model, identifying at least one redundant layer from the fused NN model, and removing the at least one redundant layer to generate an optimized NN model.

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.