ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,450,478, issued on Oct. 21, was assigned to Maxim Integrated Products Inc. (San Jose, Calif.).

"Dynamic data-dependent neural network processing systems and methods" was invented by Mark Alan Lovell (Lucas, Texas) and Robert Michael Muchsel (Addison, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Dynamic data-dependent neural network processing systems and methods increase computational efficiency in neural network processing by uniquely processing data based on the data itself and/or configuration parameters for processing the data. In embodiments, this is accomplished by receiving, at a controller, input data that is to be processed by a first d...