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
Success Stories: AMS/RF vertical
An EMI Immune PAM-4 Transceiver Chip
A team from IIT Bombay has developed and demonstrated an EMI-immune PAM-4 transceiver integrated circuit (IC). The PAM-4 (pulse amplitude modulation 4-level) transmitter is capable
3D FC2A: An Approach to High-Density Synapses for CMOS-Implemented Brain-Inspired Computing Systems
This project proposes a novel 3D folded capacitive synaptic crossbar array designed for in-memory computing architectures. In this architecture, the bit line is folded over
Analysis and Design of Wideband Filtering ADCs Using Continuous-Time Pipelining
The project describes the advantages and challenges encountered during the design of wideband continuous-time pipeline (CTP) analog-to-digital converters (ADCs). It introduces an area- and power-efficient
SpiMAM: Bio-Inspired Spiking Multidirectional Associative Memory
To enhance bioplausibility, sparsity, and information storage capacity in associative memory systems, we developed SpiMAM, a CMOS-based hardware prototype that, for the first time, demonstrates
Rail-to-Rail Dynamic Comparator: Enhancing ADC Performance for In-Memory Computing
Our project titled rail-to-rail dynamic comparator (RRDC) presents the design and silicon validation of a suite of novel dynamic comparators targeting high-speed and energy-efficient analog-to-digital
A Battery-less Energy Harvesting Front-end for Powering Multiple IoT Nodes
Advancements in sensor technology and wireless connectivity have led to significant growth in Internet-of-Things (IoT) systems, requiring autonomous, self-sustained operation with a prolonged lifetime. Powering