US Patent Issued to Beijing Baidu Netcom Science Technology on Feb. 10 for "Method, device and storage medium for training model based on multi-modal data joint learning" (Chinese Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,548,306, issued on Feb. 10, was assigned to Beijing Baidu Netcom Science Technology Co. Ltd. (Beijing).

"Method, device and storage medium for training model based on multi-modal data joint learning" was invented by Wei Li (Beijing), Can Gao (Beijing), Guocheng Niu (Beijing), Xinyan Xiao (Beijing), Hao Liu (Beijing), Jiachen Liu (Beijing), Hua Wu (Beijing) and Haifeng Wang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a model based on multi-modal data joint learning, includes: obtaining multi-modal data; in which the multi-modal data include at least one type of single-modal data and at least one type of Pair multi-modal ...