MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122418 A) filed by Gitam Deemed To Be University, Visakhapatnam, Andhra Pradesh, on Dec. 5, 2025, for 'closed-loop adaptive vlsi system for batteryless energy harvesting iot nodes employing on-chip machinelearning.'
Inventor(s) include Masood Ahmad Mahammad.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Exemplary embodiments of the present disclosure are directed towards a closed-loop adaptive operation of a VLSI system for battery less energy harvesting IoT Nodes employing on-chip machine learning. An energy harvesting unit is configured to convert ambient environmental energy sources including solar, radio frequency (RF), vibration, and thermal energy into usable electrical power, and to provide both raw harvested energy data and electrical input to the IoT node. A machine learning (ML) based energy forecast module unit is configured to analyze historical and real-time energy harvesting data, and to predict short-term and long-term energy availability with greater accuracy than conventional heuristic methods. An adaptive VLSI control unit is configured to dynamically adjust circuit-level parameters including supply voltage, clock frequency, duty cycling, and power gating, to achieve energy-efficient operation aligned with predicted energy levels. A feedback and model update unit is configured to compare predicted energy availability with actual harvested energy, to retrain or update the machine learning model for improved forecasting accuracy, and to maintain closed-loop operation ensuring long-term system robustness."
Disclaimer: Curated by HT Syndication.
