US Patent Issued to EL ROI LAB on Dec. 2 for "Method and device for training neural network model to be robust to changes in brightness of input data" (South Korean Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,432, issued on Dec. 2, was assigned to EL ROI LAB INC. (Seoul, South Korea).

"Method and device for training neural network model to be robust to changes in brightness of input data" was invented by Jungi Lee (Seoul, South Korea), Ji Seong Yoon (Seoul, South Korea), Myoung Hwan Kim (Seoul, South Korea), Jeong Hyeon Park (Seoul, South Korea), Kwangsun Yoo (Incheon, South Korea) and Seok Joo Byun (Gyeonggi-do, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method of training a neural network model, performed by a neural network model training device, the method including converting input data to a red, green, blue (RGB) image...