US Patent Issued to Imagination Technologies on June 23 for "Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation" (British Inventor)

ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,434, issued on June 23, was assigned to Imagination Technologies Ltd. (Kings Langley, Great Britain).

"Methods and systems for selecting quantisation parameters for deep neural networks using back-propagation" was invented by Szabolcs Csefalvay (Hemel Hempstead, Great Britain).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems for identifying quantisation parameters for a Deep Neural Network (DNN). The method includes determining an output of a model of the DNN in response to training data, the model of the DNN comprising one or more quantisation blocks configured to transform a set of values input to a layer of the DNN prior to proce...