US Patent Issued to Socra AI on July 7 for "Method and apparatus for patch-level supervised contrastive learning to learn temporal presentation" (South Korean Inventor)

ALEXANDRIA, Va., July 7 -- United States Patent no. 12,674,397, issued on July 7, was assigned to Socra AI Inc. (Seoul, South Korea).

"Method and apparatus for patch-level supervised contrastive learning to learn temporal presentation" was invented by Jung Bae Park (Seoul, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of training a sequence encoder according to an embodiment of the present application includes: acquiring interaction data for each user; extracting an embedding vector from log data of the interaction data for each user; acquiring a reference vector from the embedding vector; acquiring a hidden vector from the reference vector through the sequence encoder; acquiring a proj...