As engineers, we would be foolish to ignore the lessons of a billion years of evolution - Carver Mead, 1993
Group Photo, 2016
From left to right: Andy Pan, Wang Wei Lee, Robin Singh, Ruey Yi, Hwee Chin, Sunil Kukreja (Head, Neuromorphic Engineering & Robotics), Anna Prach, Yujun Huang, Nida Abbasi, Jishnu Datta, Dimple Bhuta, Mahdi Rasouli, Abhishek Mishra,and Rohan Ghosh
Group Photo, 2015
Sitting: Dr. Sunil Kukreja (Group Head) and Dr. Garrick Orchard (Research Fellow)
Standing (Students): Wang Wei Lee, Sriram Sridhar, Jonathan Harvey, Ashish Goyal, Mahdi Rasouli, Abhishek Mishra, Rohan Ghosh, Anand Kalvit, Krutika Patil
What is Neuromorphic Engineering?
Neuromorphic engineering is an interdisciplinary field which takes inspiration from biology, physics, mathematics, computer science and engineering to design artificial neural systems.
Why is it important ?
The brains of humans and animals solve complex problems like learning, speech comprehension, vision processing and tactile sensing, efficiently and fast. By using these neurobiological principles in engineering, we can develop reliable systems from unreliable parts.
Even though we do not understand completely how the brain solves these complex problems, we can emulate their basic design principles to develop power efficient neuromorphic chips to solve them.