US Patent Issued to ADP on Aug. 11 for "Multi-modal deep learning of structured and non-structured data" (New Jersey Inventor)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,705,459, issued on Aug. 11, was assigned to ADP Inc. (Roseland, N.J.).

"Multi-modal deep learning of structured and non-structured data" was invented by Min Xiao (Florham Park, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for multi-modal deep learning is provided. The method comprises receiving input data from a database, wherein the input data comprises different data types. Responsive to receiving the input data, a number of corresponding neural extractors are identified to which to route the input data according to data type. Each neural extractor is specialized in extracting latent representations from a specific data type. The neura...