[2018-08-30] Prof. Kaushik Roy, Purdue University,“Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems”

Poster:Post date:2018-08-24

Title: Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems
Date: 2018-08-30 10:00-12:00
Location: R201, BL
Speaker: Edward G. Tiedemann Jr. Distinguished Prof. Kaushik Roy, Electrical and Computer Engineering, Purdue University


Advances in machine learning, notably deep learning, have led to computers matching or surpassing human performance in several cognitive tasks including vision, speech and natural language processing. However, implementation of such neural algorithms in conventional "von-Neumann" architectures are several orders of magnitude more area and power expensive than the biological brain. Hence, we need fundamentally new approaches to sustain exponential growth in performance at high energy-efficiency beyond the end of the CMOS roadmap in the era of ‘data deluge’ and emergent data-centric applications. Exploring the new paradigm of computing, take a multi-disciplinary approach and explore new learning algorithms inspired from neuroscientific principles, develop network architectures best suited for such algorithms, hardware techniques which bypass the memory-processor bottleneck by enabling in-memory computing, to achieve orders of improvement in energy consumption, and nanoscale devices that can closely mimic the neuronal and synaptic operations of the brain leading to a better match between the hardware substrate and the model of computation. Our system level analysis shows the possibility of achieving more than 100x improvement in energy consumption compared to state of the art AI hardware.



Dr. Roy is the Edward G. Tiedemann Jr. Distinguished Professor of Electrical and Computer Engineering at Purdue University, where he joined the faculty in 1993. He is currently leading the National Center for Brain-inspired Computing Enabling Autonomous Intelligence (C-BRIC) in USA. He was previously with the Semiconductor Process and Design Center of Texas Instruments, Dallas, where he worked on FPGA architecture development and low-power circuit design. He received his Ph.D. degree from the electrical and computer engineering department of the University of Illinois at Urbana-Champaign in 1990. Dr. Roy received the 2005 SRC Technical Excellence Award, the SRC Inventors Award, the Purdue College of Engineering Research Excellence Award, and the 2010 IEEE Circuits and Systems Society Technical Achievement Award. He is a Fellow of the IEEE. His research interests include spintronics, device-circuit co-design for nano-scale silicon and non-silicon technologies, low-power electronics for portable computing and wireless communications, and new computing models enabled by emerging technologies. Dr. Roy has published more than 600 papers in refereed journals and conferences, holds 15 patents, graduated 56 Ph.D. students, and is co-author of two books on low power CMOS VLSI design.  

Last modification time:2018-08-24 AM 10:08

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