US Patent Issued to GOOGLE on March 11 for "Ephemeral learning and/or federated learning of audio-based machine learning model(s) from stream(s) of audio data generated via radio station(s)" (New York, Washington, California Inventors)

ALEXANDRIA, Va., March 12 -- United States Patent no. 12,249,345, issued on March 11, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Ephemeral learning and/or federated learning of audio-based machine learning model(s) from stream(s) of audio data generated via radio station(s)" was invented by Johan Schalkwyk (Scarsdale, N.Y.), Blaise Aguera-Arcas (Seattle), Diego Melendo Casado (Mountain View, Calif.) and Oren Litvin (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations disclosed herein are directed to utilizing ephemeral learning techniques and/or federated learning techniques to update audio-based machine learning (ML) model(s) based on processing streams of audio data generated ...