ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,154, issued on Oct. 6.

"Method for stabilizing neural pathways in early-phase artificial neural network training" was invented by Joshua Jarod Ely (Pennington Gap, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method and system for training an artificial neural network (ANN) is disclosed, specifically addressing the technical problem of training instability caused by randomly initialized weights. The invention introduces a novel, multi-phase training protocol executed by a processor. During an initial stabilization phase, the processor modifies the backpropagation of a weighted loss function by deprioritizing training on data from classes for ...