US Patent Issued to Google on June 2 for "Self-adapting forecasting for multi-horizon forecasting machine learning models" (California Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,919, issued on June 2, was assigned to Google LLC (Mountain View, Calif.).

"Self-adapting forecasting for multi-horizon forecasting machine learning models" was invented by Sercan Omer Arik (San Francisco), Nathanael Christian Yoder (San Francisco) and Tomas Pfister (Redwood Shores, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Aspects of the disclosure provide for self-adapting forecasting (SAF) during the training and execution of machine learning models trained for multi-horizon forecasting on time-series data. The distribution of time-series data can shift over different periods of time. A deep neural network and other types of machine le...