US Patent Issued to Teradata US on Dec. 9 for "Methods and techniques for deep learning at scale over very large distributed datasets" (California Inventors)

ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,793, issued on Dec. 9, was assigned to Teradata US Inc. (San Diego).

"Methods and techniques for deep learning at scale over very large distributed datasets" was invented by Wellington Marcos Cabrera Arevalo (El Segundo, Calif.), Anandh Ravi Kumar (Torrance, Calif.), Mohammed Al-Kateb (Rolling Hills Estates, Calif.), Sanjay Nair (El Segundo, Calif.) and Sandeep Singh Sandha (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "An apparatus, method and computer program product for neural network training over very large distributed datasets, wherein a relational database management system (RDBMS) is executed in a computer system comprised of a p...