Welcome to the NeuRonICS Lab at the Indian Institute of Science
“By emulating the way the brain interacts with the world, the goal of neuromorphic computing is to create intelligent machines that can reason, learn, and adapt as humans do.”
The central research focus of the NeuRonICS lab is to understand the principles of brain computation and to apply this understanding in electronic systems for building intelligent systems. Engineers have a lot to learn about computation from the brain, which has evolved over billions of years to solve difficult engineering problems. Efficient, parallel, low-power computation is a hallmark of the brain, and to be able to replicate this in electronic systems is one of the goals of the lab. Research interests of the lab span a broad range of subjects such as ASIC/FPGA VLSI design, analog IC design, brain-inspired algorithms, computational neuroscience, machine learning, and event-based sensors.
Focus Areas of Our Research
As we navigate the complex landscape of neuromorphic engineering, we concentrate our efforts across several key areas. Each domain represents a unique challenge and opportunity for advancing our understanding and capability in creating brain-inspired technology. Here are the core research themes we are passionately exploring:
Neuromorphic Analog
Circuits Design
Inspired by the brain’s efficiency, we design neuromorphic analog-mixed signal circuits for intelligent, low-power real-world solutions.
Read MoreDigital VLSI
and
FPGA Architectures
Our research focuses on ASIC and FPGA design for low-power, memory-efficient computing in sensor, biomedical, and AI applications.
Read MoreAI Hardware Accelerators
Our projects focus on hardware accelerators that enhance AI performance with scalability and low power consumption.
Read MoreEvent Based Sensors
Our projects are centered on developing hardware accelerators that bolster the computational performance and efficiency of AI systems, focusing on scalability and minimal power usage.
Read MoreBrain Inpired Algorithms
& Machine Learning
Our research explores brain-inspired algorithms and machine learning models for efficient, adaptive, and intelligent systems.
Read MoreBiomedical Systems
Our work focuses on the development of high-resolution, AI-accelerated handheld ultrasound imaging for deep scan applications.
Read MoreEdge Computing
Our work explores TinyML-driven edge computing for efficient, real-time processing on embedded platforms.
Read MoreQuantum
Control Systems
Our research focuses on designing scalable and precise quantum control systems for reliable and efficient quantum computing and sensing.
Read MoreDiscover Opportunities at the NeuRonICS Lab
Are you curious about the roles you can play in advancing neuromorphic engineering? To explore the range of opportunities available, including collaborative projects, internships, and academic roles, please click the button below. Join us in our modest pursuit of understanding and innovation, inspired by the intricacies of neuromorphic systems.
