ALEXANDRIA, Va., May 5 -- United States Patent no. 12,619,878, issued on May 5, was assigned to NVIDIA Corp. (Santa Clara, Calif.).
"Master transform architecture for deep learning" was invented by Shekhar Dwivedi (Santa Clara, Calif.) and Nicholas Alexander Haemel (San Francisco).
According to the abstract* released by the U.S. Patent & Trademark Office: "Apparatuses, systems, and techniques to transform input data for training neural networks. In at least one embodiment, one or more data transforms are identified in a sequence of data transforms and combined into one or more master data transforms to be performed by one or more parallel processing units in order to prepare data for training an untrained neural network."
The patent was ...