ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,938, issued on Nov. 3, was assigned to Canon K.K. (Tokyo). "Model training device and model training method" was invented by Fanjie Meng (Be... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,939, issued on Nov. 3, was assigned to GOOGLE LLC (Mountain View, Calif.). "Unified sample reweighting framework for learning with noisy dat... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,940, issued on Nov. 3, was assigned to AT&T Intellectual Property I LP (Atlanta). "Transfer knowledge from auxiliary data for more inclusive... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,941, issued on Nov. 3, was assigned to Oracle International Corp. (Redwood Shores, Calif.). "Exemplar selection algorithm for increased dens... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,942, issued on Nov. 3, was assigned to Honda Motor Co. Ltd. (Tokyo). "Model evaluation device, filter generating device, model evaluation me... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,943, issued on Nov. 3, was assigned to Maplebear Inc. (San Francisco). "Feature recommendations for machine learning models based on feature... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,945, issued on Nov. 3, was assigned to BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) Co. LTD. (Beijing). "Model parameter adjusting method and d... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,946, issued on Nov. 3, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.). "Decoupled optimization of models during pretrai... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,947, issued on Nov. 3, was assigned to ROBERT BOSCH GMBH (Stuttgart, Germany). "Device and method for detecting anomalies in technical syste... Read More
ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,948, issued on Nov. 3, was assigned to GOOGLE LLC (Mountain View, Calif.). "Privacy-preserving learning and analytics of a shared embedding ... Read More