Brain-inspired computing and haptic intelligence

24th February 2022

Timing : 2 pm EST

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For a list of all talks at the NanoBio seminar Series Spring'22, see here


I will share my vision and enthusiasm for the growing fields of brain-inspired computing and robotics. The focus of my presentation will be on metal-insulator transitions in quantum materials such as correlated perovskite semiconductors that can be used to emulate the characteristics of neurons and synapses in the brain and serve as building blocks for AI hardware. We will then discuss how features of intelligence noted in various insects, mammals and birds by biologists can be implemented in electronic devices and circuits for learning and decision-making. Creation of neural links between brains of live mice and electronics will be then presented (few refs: Science (373, 352, 2021), PNAS (118, e2103934118, 2021), PNAS (116, 21992, 2019)).



Snow
Shriram Ramanathan,
Professor
School of Materials Engineering
School of Electrical and Computer Engineering (courtesy)
Purdue University, USA

S. Ramanathan is a professor in the School of Engineering (MSE, ECE courtesy) at Purdue University. He received his PhD from Stanford University and was a research staff member at Components Research, Intel for over three years. He then served on the Applied Physics faculty at Harvard University for nearly a decade. Their group conducts research in oxide semiconductors for neuromorphic computing; opto-electronics and haptic intelligence and collaborate with diverse set of research groups across engineering and natural sciences.