US Patent Issued to INSPUR SUZHOU INTELLIGENT TECHNOLOGY on Sept. 30 for "Method and system for optimizing convolutional residual structure of neural network, device, and medium" (Chinese Inventor)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,904, issued on Sept. 30, was assigned to INSPUR SUZHOU INTELLIGENT TECHNOLOGY Co. LTD. (Jiangsu, China).

"Method and system for optimizing convolutional residual structure of neural network, device, and medium" was invented by Shenling Wang (Jiangsu, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method for optimizing a convolutional residual structure of a neural network, including: obtaining picture data and convolution kernel data of each group of residual structures from a global memory as inputs, calculating a first convolution to obtain a first result, storing the first result in a shared memory; determining the size of a...