ALEXANDRIA, Va., July 7 -- United States Patent no. 12,675,683, issued on July 7, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Automated deep learning architecture selection for time series prediction with user interaction" was invented by Bei Chen (Blanchardstown, Ireland), Dakuo Wang (Cambridge, Mass.), Martin Wistuba (Dublin), Beat Buesser (Ashtown, Ireland), Long Vu (Chappaqua, N.Y.), Chuang Gan (Cambridge, Mass.) and Mathieu Sinn (Dublin).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for automatically generating deep neural network architectures for time series prediction. The system includes a processor for: receiving a prediction context associated with a ...