US Patent Issued to NEC on March 17 for "Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series" (New Jersey Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,436, issued on March 17, was assigned to NEC Corp. (Tokyo).

"Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series" was invented by Wei Cheng (Princeton Junction, N.J.), Haifeng Chen (West Windsor, N.J.), Jingchao Ni (Princeton, N.J.), Dongkuan Xu (Princeton, N.J.) and Wenchao Yu (Plainsboro, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for executing a multi-task deep learning model for learning trends in multivariate time series is presented. The method includes collecting multi-variate time series data from a plurality of sensors, jointly learning both local and global contextual features for ...