ALEXANDRIA, Va., Feb. 12 -- United States Patent no. 12,223,428, issued on Feb. 11, was assigned to Tesla Inc. (Austin, Texas).
"Generating ground truth for machine learning from time series elements" was invented by Ashok Kumar Elluswamy (Sunnyvale, Calif.), Matthew Bauch (San Francisco), Christopher Payne (San Francisco), Andrej Karpathy (San Francisco) and Joseph Polin (San Francisco).
According to the abstract* released by the U.S. Patent & Trademark Office: "Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based ...