ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,667, issued on June 30, was assigned to ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY (Scottsdale, Ariz.).
"Convolutional neural networks on tetrahedral meshes" was invented by Mohammad Farazi (Tempe, Ariz.) and Yalin Wang (Tempe, Ariz.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein are methods for graphing convolutional neural networks in tetrahedral meshes. In some embodiments, the methods include computing a volumetric Laplace Beltrami Operator. In some embodiments, the methods include feeding the LBO into a neural network. In some embodiments, the methods include down-sampling a tetrahedral mesh."
The patent wa...