US Patent Issued to SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION on June 30 for "Algorithm and method for dynamically changing quantization precision of deep-learning network" (South Korean Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,709, issued on June 30, was assigned to SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION (Seoul, South Korea).

"Algorithm and method for dynamically changing quantization precision of deep-learning network" was invented by Ook Sang Yoo (Gimpo-si, South Korea), Ji Yea Chon (Seoul, South Korea), Hyuk Jae Lee (Seongnam-si, South Korea) and Kyeong Jong Lim (Seongnam-si, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided is an image recognition method including the steps of: for a deep learning network that carries out object recognition on a random image, carrying out quantization corresponding to the number of a plurality of different bits to...