MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641097039 A) filed by Dr. Achukatla Valli Bhasha; , Balaji Nagar, Kadapa-, Andhra Pradesh, India. Kadapa Andhra Pradesh India; Mr. B. Praveen Kumar; Dr. Pottipati Dileep Kumar Reddy; Mr. K. Naga Sankar Reddy; Mr. P. Krishna Teja Yadav; Mrs. Y. Sravani; Mr. A. Mahammed Shafeeulla; Mr. Sreenivasa Rao. P; Smt. Donthireddy Pushpalatha; and Dr. Syed Zahiruddin on August 11, 2026, for Bio-Inspired Memristive Vlsi Design With In-Memory Computing For Energyefficient Real-Time Sensory Data Processing.
Inventors include Dr. Achukatla Valli Bhasha; Mr. B. Praveen Kumar; Dr. Pottipati Dileep Kumar Reddy; Mr. K. Naga Sankar Reddy; Mr. P. Krishna Teja Yadav; Mrs. Y. Sravani; Mr. A. Mahammed Shafeeulla; Mr. Sreenivasa Rao. P; Smt. Donthireddy Pushpalatha; and Dr. Syed Zahiruddin.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The invention discloses a bio-inspired memristive VLSI design incorporating in-memory computing capabilities tailored for energy-efficient real-time sensory data processing. By emulating the parallel and adaptive nature of biological synapses and neurons, the proposed system utilizes arrays of memristive devices fabricated in a standard CMOS-compatible process to perform synaptic weighting, summation, and thresholding operations directly within the memory fabric. This eliminates the energy overhead associated with data shuttling between separate memory and processing units. The architecture supports dynamic reconfiguration for handling multimodal sensory inputs such as visual, auditory, and tactile signals, achieving significant reductions in power dissipation while maintaining high throughput. Experimental validations demonstrate superior energy efficiency, with improvements in latency and accuracy for real-time pattern recognition tasks compared to traditional digital counterparts. The system finds utility in wearable health monitors, autonomous robotics, and IoT sensor nodes where battery life and responsiveness are paramount.
Disclaimer: Curated by HT Syndication.
