MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611116472 A) filed by Vivekananda Institute Of Professional Studies - Technical Campus on September 29, 2026, for A Self-Tunable Analog Reservoir Computing System And Method For Semiconductor Failure Prediction.
Inventors include Prof. Dr. Ravi Prakash Iyer; and Dr. Rajesh Yadav.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The invention relates to semiconductor health monitoring and predictive failure analysis using an analog reservoir computing architecture. A sensor interface unit acquires operating parameters of a semiconductor device, including electrical, thermal, vibration, acoustic, optical, and electromagnetic inputs, and a transimpedance amplifier bank converts sensed outputs into analog signals. An adaptive analog reservoir computing front-end having an adaptive memory crossbar array, a static recurrent processing array, and a nonlinear activation circuit bank generates temporally rich reservoir state information, while a tuning control unit derives device stress level and adjusts decay behavior or memory duration of adaptive memory-like electronic elements, including hafnium oxide, titanium oxide, tantalum oxide, or combinations thereof. An analog-to-digital converter digitizes the reservoir states, and a digital readout layer estimates probabilities of failure modes including thermal runaway, gate oxide degradation, electromigration, hot carrier effects, solder fatigue, and dielectric breakdown, thereby enabling improved early prediction under varying stress conditions.
Disclaimer: Curated by HT Syndication.
