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
EMI-immune Amplifiers: Shielding the Future Electronics
Electromagnetic Interference (EMI) is a silent disruptor of the critical electronics that power today’s fighter jets, missile guidance systems, satellites in space, and autonomous vehicles.
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
Success Stories: MEMS & Sensors Vertical
Metal Embossing on Glass for Microfluidic Applications
The centre of Excellence in MEMS & Microfluidics (CEMM) at Rajalakshmi Engineering College (REC), Chennai, Tamilnadu developed and demonstrated the metal embossing on glass substrate
Pneumatically Actuated Micropumps and Microvalves for Microfluidic Systems
The Centre of Excellence in MEMS & Microfluidics (CEMM) at Rajalakshmi Engineering College (REC), Chennai, Tamilnadu developed and demonstrated the pneumatically actuated polymer micropumps and