ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,703,086, issued on Aug. 11, was assigned to Siemens AG (Munich).
"Transformation for covariate shift of grasp neural networks" was invented by Juan L Aparicio Ojea (Moraga, Calif.), Heiko Claussen (Wayland, Mass.), Ines Ugalde Diaz (Redwood City, Calif.), Gokul Narayanan Sathya Narayanan (Emeryville, Calif.), Eugen Solowjow (Berkeley, Calif.), Chengtao Wen (Redwood City, Calif.), Wei Xi Xia (Daly City, Calif.), Yash Shahapurkar (Berkeley, Calif.) and Shashank Tamaskar (Punjab, India).
According to the abstract* released by the U.S. Patent & Trademark Office: "A covariate shift generally refers to the change of the distribution of the input data (e.g., noise distribution) between the ...