ALEXANDRIA, Va., March 3 -- United States Patent no. 12,566,939, issued on March 3, was assigned to THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Toronto).
"Quantization for neural network computation" was invented by Andreas Moshovos (Toronto), Ali Hadi Zadeh (Toronto), Isak Edo Vivancos (Cambridge, Great Britain) and Omar Mohamed Awad (Toronto).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for memory storage including storing a neural network by storing values of the neural network each as a reference to a representative value; and, in some embodiments, storing additional values of the neural network. Each of the representative values can be generated by assigning each of the values of the n...