US Patent Issued to Google on Jan. 13 for "End-to-end deep neural network adaptation for edge computing" (California Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,526,202, issued on Jan. 13, was assigned to Google LLC (Mountain View, Calif.).

"End-to-end deep neural network adaptation for edge computing" was invented by Jibing Wang (San Jose, Calif.) and Erik Richard Stauffer (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques and apparatuses are described for adapting an end-to-end, E2E, machine-learning, ML, configuration for processing communications transferred through an E2E communication. A network entity directs a user equipment (UE) and a base station participating in the E2E communication to implement the E2E communication by forming at least a portion of an E2E deep neural netwo...