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RAMAN is an indigenous low-power AI co-processor designed for edge computing applications. … The researchers chose to name it RAMAN as a tribute to the Nobel laureate CV Raman, the first Indian Director of IISc.

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Subsequently, the framework was extended to develop an end-to-end Analog AI Compute Ecosystem. … ARYABHAT, taped out on the TSMC 180nm technology node, is a bias scalable analog accelerator meaning it can perform at high performance (strong inversion regime) as well as the low

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We also support a robust talent pipeline and forward-thinking policies to position India as a semiconductor powerhouse. … Terms of Reference​ a) To drive the high-level talent development through comprehensive training and cutting-edge research as well as infrastructure sustenance and growth to create

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Aswani AR, Alex James and Nithn Krishan (left to right) showing the chip Reference: Alex James (2025), “Reliable Analog In-Memory Computing with Crossbars: Memristors for Analog Neural … A. Gopi, S. Davar, V. V. Nair, A. Kabeer, T. Fevens and A.

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Risbud Neuromorphic computing isn’t just about mimicking the brain for AI—it’s a powerful paradigm for solving a wide range of mathematical problems. … It’s a must-read for engineers, researchers, and technologists interested in the future of computing beyond AI. 📌 Conclusion Insight: “There are clear advantages to using a neuromorphic

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training and cutting-edge research as well as infrastructure sustenance and growth to create a world-class talent pipeline via the top national institutes into the semiconductor industrial … for solving a wide range of mathematical problems.