US Patent Issued to AARISH TECHNOLOGIES on May 6 for "Machine learning using structurally regularized convolutional neural network architecture" (Canadian Inventors)

ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,293, issued on May 6, was assigned to AARISH TECHNOLOGIES (Brossard, Canada).

"Machine learning using structurally regularized convolutional neural network architecture" was invented by Pavel Sinha (Brossard, Canada), Zeljko Zilic (Verdun, Canada) and Ioannis Psaromiligkos (Montreal).

According to the abstract* released by the U.S. Patent & Trademark Office: "Machine learning architectures to perform pattern recognition such as a structurally regularized convolutional neural network architecture, along with corresponding methods of operation, are provided. One such architecture includes a memory, and a processor coupled to the memory, where the processor receives data including a...