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ESE Fall Colloquium Seminar – “Bits and Brains: Ultra-low Power, Neuro-inspired Edge-AI for Autonomous Systems”
November 30, 2021 at 11:00 AM - 12:00 PM
As we march towards the age of “ubiquitous intelligence”, we note that AI and Machine learning are progressively moving from the Cloud to the Edge devices. The success of Edge-AI is pivoted on innovative circuits and hardware that can enable inference and limited learning, in hardware-constrained ultra-low-power (uW to mW) systems – an area of active research. In this talk, I will discuss the promises and outlook of Edge-AI and their applications in Autonomous Systems; and elaborate on some of our recent work on enabling such systems in sensor nodes and robotics. While some of these systems extend our understanding of statistical machine learning, a large class of circuits and systems are inspired by the information representation in the brain. I will talk about the design of such circuits and systems with an emphasis on the impact of mixed-signal circuits, near-memory and in-memory compute architectures, non-CMOS (RRAM-based) compute macros, as well as algorithm-hardware co-design to realize the most energy-efficient Edge-AI ASICs for the next generation of smart and autonomous systems.
Steve W Chaddick Chair, and Professor Electrical and Computer Engineering
Arijit Raychowdhury is the Steve W Chaddick Chair and Professor of the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He joined Georgia Tech in January 2013. From 2013 to July 2019, he was an Associate Professor and held the ON Semiconductor Junior Professorship in the department. Prior to joining Georgia Tech, he held research positions at Intel Corporation for six years and at Texas Instruments for one and a half years. He received his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2007. His research interests include low power digital and mixed-signal circuit design, design of power converters, signal-processors, and exploring interactions of circuits with device technologies. Dr. Raychowdhury holds more than 27 U.S. and international patents and has published over 250 articles in journals and refereed conferences. He is currently a Distinguished Lecturer of the IEEE Solid State Circuits Society (SSCS) and a mentor for IEEE Young Professionals and IEEE Women in Circuits. He serves on the Technical Program Committee of key circuits and design conferences including ISSCC, VLSI Symposium, DAC, and CICC. He is the winner of several prestigious awards, including the SRC Technical Excellence Award 2021, Qualcomm Faculty Award 2020, IEEE/ACM Innovator under 40 Award, the NSF CISE Research Initiation Initiative Award (CRII) 2015, Intel Labs Technical Contribution Award 2011, Dimitris N. Chorafas Award for outstanding doctoral research and best thesis 2007, and several fellowships. He and his students have won 14 best paper awards over the years. Dr. Raychowdhury is a Fellow of the IEEE.