US Patent Issued to Magic Leap on Sept. 30 for "Object recognition neural network training using multiple data sources" (California, New York Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,903, issued on Sept. 30, was assigned to Magic Leap Inc. (Plantation, Fla.).

"Object recognition neural network training using multiple data sources" was invented by Siddharth Mahendran (Mountain View, Calif.), Nitin Bansal (Sunnyvale, Calif.), Nitesh Sekhar (Mountain View, Calif.), Manushree Gangwar (San Francisco), Khushi Gupta (Mountain View, Calif.), Prateek Singhal (Mountain View, Calif.), Tarrence Van As (New York) and Adithya Shricharan Srinivasa Rao (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an object recognitio...