J. Joshua Yang Seminar- Friday, March 29th at 2PM in EEB 132
Fri, Mar 29, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: J. Joshua Yang, University of Massachusetts
Talk Title: Unconventional Computing With Memristive Devices
Abstract: Memristive devices have become a promising candidate for energy-efficient and high-throughput unconventional computing, which is a key enabler for artificial intelligent systems in the big data and IoT era. The computing can be implemented on a Resistive Neural Network with memristive synapses and neurons or a Capacitive Neural Network with memcapacitive synapses and neurons. In this talk, I will first briefly introduce the promises and challenges of memristive devices and the key ideas behind bio-inspired computing. I will then discuss a few examples selected from our recent experimental demonstrations of unconventional computing using memristive networks with different levels of bio-inspiration: first, deep learning accelerators with supervised online learning; second, neuromorphic computing for pattern classification with unsupervised learning; last, other computing applications, such as reinforcement learning for decision making, artificial nociceptors for robotics, provable key destruction and true random number generators for cybersecurity.
Biography: Dr. J. Joshua Yang is a professor of the Department of Electrical and Computer Engineering at the University of Massachusetts, Amherst. Before joining UMass in 2015, he spent eight years at HP Labs and led the Memristive Materials and Devices team since 2012. His current research interests are Nanoelectronics and Nanoionics for computing and artificial intelligent systems, where he authored and co-authored over 140 technical papers and holds 110 granted and 55 pending US Patents. His MRAM patents were licensed by Intel, RRAM patents were technology-transferred to SK-hynix for memory development and recent patents at UMass led to a spin-off company on AI accelerators. He was named as a Spotlight Scholar of UMass Amherst in 2017. He obtained his PhD from the University of Wisconsin - Madison in the Material Science Program in 2007.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski