公开(公告)号：US20250156721A1

公开(公告)日：2025-05-15

申请号：US18940856

申请日：2024-11-08

Applicant: MEDIATEK INC.

Inventor： Chun-Wei Yang ,  Bo-Yu Kuo ,  Cheng-Sheng Chan ,  Sheng-Je Hung

IPC: G06N3/092

Abstract: A neural network optimization method includes: executing a population-based algorithm to tune and evaluate a policy group, in order to generate one or more evaluation results, wherein the policy group comprises one or more policies, and each of the one or more policies is related to a neural network; executing a learning-based algorithm to tune the one or more policies according to the one or more evaluation results, to generate one or more tuned policies; performing an inference operation according to a target neural network and the one or more tuned policies, to generate multiple configuration candidates; and performing a selection operation upon the multiple configuration candidates to generate an optimal configuration, for outputting to a compiler and generating an optimized neural network, wherein the optimized neural network is an optimized version of the target neural network.

公开(公告)号：US10110325B2

公开(公告)日：2018-10-23

申请号：US14696807

申请日：2015-04-27

Applicant: MediaTek Inc.

Inventor： Yen-Liang Chen ,  Chun-Hsien Peng ,  Ying-Chou Shih ,  Yu-An Chen ,  Chun-Wei Yang

IPC: H04B17/00 ,  H04B3/46 ,  H04B17/29

Abstract: An integrated circuit (IC) is provided. The IC includes an RF transmitter configured to generate an RF signal in response to a command signal from test equipment; an RF receiver configured to generate an evaluation signal according to the RF signal, and report the evaluation signal to the test equipment, so that the test equipment performs a test analysis on the evaluation signal to determine a test result, wherein the test equipment is external to the IC.

公开(公告)号：US20250077892A1

公开(公告)日：2025-03-06

申请号：US18239759

申请日：2023-08-30

Applicant: MEDIATEK INC.

Inventor： Chun-Wei Yang ,  Cheng-Sheng Chan ,  Min-Fong Horng ,  Jui-Yang Hsu ,  Sheng-Je Hung

IPC: G06N3/0985

Abstract: A neural network optimization method with a preview mechanism includes: in a preview stage, building an optimization space and obtaining multiple previewed results from the optimization space; generating an updating signal according to a reference value corresponding to the multiple previewed results, and processing the optimization space received in the preview stage according to the reference value; and in a view stage, receiving the optimization space and the updating signal, and processing the optimization space received in the view stage according to the updating signal to generate an optimization result.