US Patent Issued to Google on June 17 for "Training neural networks using priority queues" (Canadian, American Inventors)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,433, issued on June 17, was assigned to Google LLC (Mountain View, Calif.).

"Training neural networks using priority queues" was invented by Mohammad Norouzi (Richmond Hill, Canada), Daniel Aaron Abolafia (Sunnyvale, Calif.) and Quoc V. Le (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network using a priority queue. One of the methods includes maintaining data identifying a set of K output sequences that were previously generated; selecting at least one of the output sequences from the set of output sequences; for...