ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,931, issued on June 2, was assigned to Hewlett Packard Enterprise Development LP (Spring, Texas).

"Systems and methods for data-aware storage tiering for deep learning" was invented by Cong Xu (Milpitas, Calif.), Suparna Bhattacharya (Bangalore, India) and Paolo Faraboschi (Milpitas, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are configured to split an epoch associated with a training dataset into a plurality of mini-epochs. A machine learning model can be trained with a mini-epoch of the plurality of mini-epochs. The mini-epoch can be, during the training, iterated for a number of times during the training. One or more...