US Patent Issued to International Business Machines on May 13 for "Multi-model, multi-task trained neural network for analyzing unstructured and semi-structured electronic documents" (Australian Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,050, issued on May 13, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Multi-model, multi-task trained neural network for analyzing unstructured and semi-structured electronic documents" was invented by Peter Zhong (Vermont, Australia), Antonio Jose Jimeno Yepes (Melbourne, Australia) and Elaheh ShafieiBavani (Melbourne, Australia).

According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments of the invention describe a computer-implemented method of analyzing an electronic version of a document. The computer-implemented method can include an architecture of machine learning sub-models that performs the global task of translating ...