US Patent Issued to Anthropic, PBC on July 14 for "Identifying optimal weights to improve prediction accuracy in machine learning techniques" (Chinese, American Inventors)

ALEXANDRIA, Va., July 14 -- United States Patent no. 12,682,280, issued on July 14, was assigned to Anthropic, PBC (San Francisco).

"Identifying optimal weights to improve prediction accuracy in machine learning techniques" was invented by Jing Xu (Xi'an, China), Si Er Han (Xi'an, China), Steven George Barbee (Amenia, N.Y.), Xue Ying Zhang (Xi'an, China) and Ji Hui Yang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method, system and computer program product for improving prediction accuracy in machine learning techniques. A teacher model is constructed, where the teacher model generates a weight for each data case. The current student model is then trained using training dat...