US Patent Issued to International Business Machines on Nov. 3 for "Adaptively training a machine learning model for estimating energy consumption in a cloud computing system" (American, Canadian, Japanese Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,949, issued on Nov. 3, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Adaptively training a machine learning model for estimating energy consumption in a cloud computing system" was invented by Eun Kyung Lee (Bedford Corners, N.Y.), Sunyanan Choochotkaew (Tokyo), Huamin Chen (Newton, Mass.) and Kaiyi Liu (Richmond Hill, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Computer-implemented methods for adaptively training a machine learning model for estimating energy consumption in a cloud computing system are provided. Aspects include detecting an update event in the cloud computing system and collecting energy consumptio...