US Patent Issued to Google on Dec. 2 for "Machine learning super large-scale time-series forecasting" (Washington, New York, California Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,284, issued on Dec. 2, was assigned to Google LLC (Mountain View, Calif.).

"Machine learning super large-scale time-series forecasting" was invented by Xi Cheng (Kirkland, Wash.), Jiashang Liu (Kirkland, Wash.), Lisa Yin (Redmond, Wash.), Amir Hossein Hormati (Seattle), Mingge Deng (Kirkland, Wash.), Weijie Shen (Mountain View, Calif.) and Kashif Yousuf (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for forecasting time-series data, when executed by data processing hardware, causes the data processing hardware to perform operations including receiving a time series forecasting query from a user requesting a time series forecast for...