ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,140, issued on May 12, was assigned to Salesforce Inc. (San Francisco).
"Systems and methods for online time series forecasting" was invented by Hong-Quang Pham (Singapore), Chenghao Liu (Singapore), Doyen Sahoo (Singapore) and Chu Hong Hoi (Singapore).
According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments provide a framework combining fast and slow learning Networks (referred to as "FSNet") to train deep neural forecasters on the fly for online time-series fore-casting. FSNet is built on a deep neural network backbone (slow learner) with two complementary components to facilitate fast adaptation to both new and recurrent concepts. To this end, FS...