US Patent Issued to International Business Machines on Sept. 8 for "Non-linear lattice layer for partially monotonic neural network" (Japanese Inventors)

ALEXANDRIA, Va., Sept. 8 -- United States Patent no. 12,731,033, issued on Sept. 8, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Non-linear lattice layer for partially monotonic neural network" was invented by Hiroki Yanagisawa (Kawasaki, Japan), Kohei Miyaguchi (Tokyo) and Takayuki Katsuki (Tokyo).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method for training a lattice layer in a Deep Lattice Network includes preparing parameters of vertices, each of the parameters corresponding to each vertex of a subdivided unit hypercube defined by subdividing an S-dimensional unit hypercube by a predetermined number k with kS vertices and defining each parameter by ide...