Success Stories: AI, Neuromorphic, Advanced Computing Hardware
Using open source PDKs for building neuro-memristive chips
The team from Digital University, Kerala developed and demonstrated analog and/or digital MAC processors using ReRAM in-memory logic processing. The modules of the 8×8 1T-1R
It’s Not Just About ML: Neuromorphic Computing Tackles Hard Mathematical Problems Beyond AI
Neuromorphic computing isn’t just about mimicking the brain for AI—it’s a powerful paradigm for solving a wide range of mathematical problems. A comprehensive review appearing
RAMAN: An AI Co-Processor for Edge Computing
PI: Prof Chetan Singh Thakur, IISc Bengaluru Key Team Members: Dr. Adithya Krishna, Dr. Mahesh Mehendale, Prof. Chetan Singh Thakur Researchers at the Department of
ARYABHAT- Analog Reconfigurable Technology and Bias-scalable Hardware for AI Tasks
PI: Prof Chetan Singh Thakur, IISc Bengaluru Team Members: Pratik Kumar, Ankita Nandi, Muthiah S, Prof. Shantanu Chakrabartty, Prof. Chetan Singh Thakur The project ARYABHAT
A spiking neural network chip based on quantum tunneling neurons
A team from IIT Bombay developed and demonstrated a spiking neural network chip. The chip consists of an input layer of 20 spiking neurons transferring