ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,155, issued on Oct. 6, was assigned to Zoox Inc. (Foster City, Calif.).

"Alternating gradient computation" was invented by Ethan Miller Pronovost (San Mateo, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for training a machine learning model are described herein. For example, the techniques may include determining a gradient variable to store in memory to determine gradient values for two or more operations of a neural network. The gradient variable may represent an input or an output of an operation and can be accessed from the memory to determine multiple different gradient values during backward propagation. Such techniques may ...