US Patent Issued to Intel on June 30 for "System and method of using fractional adaptive linear unit as activation in artificial neural networks" (California, Oregon Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,383, issued on June 30, was assigned to Intel Corp. (Santa Clara, Calif.).

"System and method of using fractional adaptive linear unit as activation in artificial neural networks" was invented by Anthony Daniel Rhodes (Portland, Ore.), Julio Cesar Zamora Esquivel (West Sacramento, Calif.) and Lama Nachman (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An apparatus is provided for deep learning. The apparatus accesses a neural network including an input layer, hidden layers, and an output layer. The apparatus adds an activation function to one or more of the hidden layers of the hidden layers and output layer. The activation func...