ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,688, issued on Sept. 15, was assigned to NEC Corp. (Tokyo).

"Predicting values for a multitude of time series with target and input variables connected in a graph" was invented by Tobias Jacobs (Heidelberg, Germany) and Ammar Shaker (Heidelberg, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for training a machine learning-artificial intelligence model for multiple prediction tasks includes inputting data for tasks and additional data sources through a common trainable task representation function to obtain a data representation for each. Each resulting data representation is input through two individual traina...