#neuromorphic #artificialintelligence #brain #braininspired #computing #toctw #podcast

Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system. The term refers to the design of both hardware and software computing elements.  Neuromorphic engineers draw from several disciplines -- including computer science, biology, mathematics, electronic engineering and physics -- to create artificial neural systems inspired by biological structures.

There are two overarching goals of neuromorphic computing (sometimes called neuromorphic engineering). The first is to create a device that can learn, retain information and even make logical deductions the way a human brain can -- a cognition machine. The second goal is to acquire new information -- and perhaps prove a rational theory -- about how the human brain works. Prof Shubham Sahay is the head of the NeuroComputing and Hardware Security (NeuroCHaSe) research group at  @IIT Kanpur  & they are working on the development of (a) novel hardware platforms to perform energy-efficient computation and (b) novel hardware security primitives to protect the cyber-physical systems against security vulnerabilities and adversary attacks.

The research thrust is highly interdisciplinary in nature and exploits principles and knowledge accumulated from semiconductor device physics, VLSI circuit design, computational neuroscience, Machine learning, etc., involving both experimental characterization and theoretical work.  

https://home.iitk.ac.in/~ssahay/ 

https://in.linkedin.com/in/shubham-sahay-b1580bb0 

http://shubhamsahai.in