Intellectual Property India Publishes Patent Application for 'A System And Method For Learnable Channel Permutation Optimization In Hardware-Accelerated Structured Sparse Neural-Network Processing' Filed by Noida Institute Of Engineering And Technology

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611051236 A) filed by Noida Institute Of Engineering And Technology, Greater Noida, Uttar Pradesh, on April 22, for 'a system and method for learnable channel permutation optimization in hardware-accelerated structured sparse neural-network processing.'

Inventor(s) include Ruchika; and Barkha Bhardwaj.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a hardware-accelerated computing system (100) and method for optimizing structured sparsity in neural networks using learnable channel permutation. The system (100) ...