US Patent Issued to UNIST (ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY) on June 16 for "Method of slicing deep learning model for heterogeneous embedded system and inferencing method based on sliced deep learning model in heterogeneous embedded system" (South Korean Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,657,467, issued on June 16, was assigned to UNIST (ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY) (Ulsan, South Korea).

"Method of slicing deep learning model for heterogeneous embedded system and inferencing method based on sliced deep learning model in heterogeneous embedded system" was invented by Woongki Baek (Ulsan, South Korea) and Myeonggyun Han (Ulsan, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of slicing a deep learning model for a heterogeneous embedded system includes collecting, by a model slicing apparatus, an execution time and power consumption when each layer corresponding to one layer of a deep learning mod...