US Patent Issued to QUALCOMM on July 22 for "Efficient construction and consumption of auxiliary channels in convolutional neural networks" (California, Washington Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,683, issued on July 22, was assigned to QUALCOMM Inc. (San Diego).

"Efficient construction and consumption of auxiliary channels in convolutional neural networks" was invented by Amin Ansari (Kirkland, Wash.), Sai Madhuraj Jadhav (San Diego) and Yunxiao Shi (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "An example device for processing image data includes a memory configured to store image data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: obtain an image to be processed; obtain a first auxiliary value for the image and a second auxiliary value for the image...