US Patent Issued on Jan. 27 for "Neural-symbolic hybrid system for direct binary document synthesis with integrated constraint satisfaction and hardware acceleration" (California Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,365, issued on Jan. 27.

"Neural-symbolic hybrid system for direct binary document synthesis with integrated constraint satisfaction and hardware acceleration" was invented by Gaurav Gupta (Fremont, Calif.) and Renu Gupta (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A neural-symbolic hybrid system for generating binary document formats directly from natural language input comprises a binary-aware hierarchical tokenizer operating across four levels (binary bytes, structural elements, semantic content, and concepts), a constraint satisfaction engine with 64 parallel processing cores for enforcing structural integrity and mathematical...