US Patent Issued to Fair Isaac on Sept. 23 for "Training artificial neural networks with constraints" (California Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,569, issued on Sept. 23, was assigned to Fair Isaac Corp. (Minneapolis).

"Training artificial neural networks with constraints" was invented by Matthew Bochner Kennel (San Diego) and Scott Michael Zoldi (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for training a machine learning model implemented over a network configured to represent the machine learning model are provided. At least one or more directed edges connect the one or more nodes an edge representing a connection between a first node and a second node, the second node computing an activation depending on the values of activations on first nodes and values ...