ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,429, issued on June 23, was assigned to Pattern Computer Inc. (Friday Harbor, Wash.).

"Deep neural networks with interpretability" was invented by Irshad Mohammed (Redmond, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A feature sub-network trainer improves robustness of interpretability of a deep neural network (DNN) by increasing the likelihood that the DNN will converge to a global minimum of a cost function of the DNN. After determining a plurality of correctly classified examples of a pre-trained DNN, the trainer extracts from the pre-trained DNN a feature sub-network that includes an input layer of the DNN and one or more subsequent spa...