US Patent Issued to ATOMBEAM TECHNOLOGIES on March 25 for "Deep learning using large codeword model with homomorphically compressed data" (Washington Inventor)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,261,631, issued on March 25, was assigned to ATOMBEAM TECHNOLOGIES INC (Moraga, Calif.).

"Deep learning using large codeword model with homomorphically compressed data" was invented by Brian Galvin (Silverdale, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for deep learning using a large codeword model with homomorphically compressed and dyadically encrypted data is disclosed. The system preprocesses input data, applies homomorphic-dyadic compression and encryption, tokenizes the compressed data into sourceblocks, and assigns codewords using a codebook. These codewords are processed through a machine learning core, which can ...