Abstract
A method for implementing an artificial neural network in a computing system that comprises performing a compute operation using an input activation and a weight to generate an output activation, and modifying the output activation using a noise value to increase activation sparsity.
Full Text
What is claimed is:
A method for implementing an artificial neural network in a computing system that comprises performing a compute operation using an input activation and a weight to generate an output activation, and modifying the output activation using a noise value to increase activation sparsity.
Timeline
Filed
06/16/2026Published
10/01/2026Granted
Not AvailableIPC Codes(2)
G06N 3/048:Activation functions
G06N 3/08:Learning methods