Going Beyond CMOS – Materials Approaches for Functional Diversification of CMOS Platforms, Non Von Neumann Computing, and Electronic-Biological Integration

Friday, April 19, 2019, 11:00 am - 12:00 pm PDTiCal
1016 (10th floor class room on eastside)
This event is open to the public.
AI Seminar
Rehan Kapadia, USC
Video Recording:

The end of the roadmap and the rise of artificial intelligence is fueling a search for new materials, devices, architectures, and algorithms to enable (i) faster and more power efficient hardware for acceleration of conventional AI algorithms, and (ii) the development of bio-inspired devices which could implement algorithms that more closely resemble the working of an actual brain. Here we will first talk about some recently developed material growth techniques recently developed in my group which enable scalable back-end integration of high-performance III-V devices through direct growth. Next, it will be shown that III-V FETs can be directly integrated on Silicon back end substrates. Using these III-V materials as the base, biomimetic synapses can be created directly on Si CMOS substrates. These devices can mimic the major synaptic functions found in biological synapses, including excitatory and inhibitory behavior, synaptic metaplasticity and true spike timing dependent plasticity, using only the input and output pulses on the device, without requiring external inhibition or excitation circuits. With the same materials approach, the use of charge trapping memories for artificial neural network acceleration will be explored, showing how linear synapses could be created from high-mobility materials and the benefits to analog accelerator accuracy.

Beyond purely electronic devices, our group, in conjunction with biomedical engineering and cell biology groups have recently established the Center for Integrated Electronics and Biological Organisms (CIEBOrg) at USC to explore the vision of direct integration of complex electronic circuitry with cells and tissues such that active circuits could exert closed loop control over individual cells or small clusters of cells. We will discuss some of the initial experiments studying compatibility of electronic materials with cardiac myocytes and some novel ultra-sensitive hall-sensors for CMOS integrated magnetic cameras for biological detection.

Bio: Professor Kapadia joined the faculty of the University of Southern California in the Ming Hsieh Department of Electrical and Computer Engineering in July 2014. He received his bachelors in electrical engineering from the University of Texas at Austin in 2008, and his Ph.D. in electrical engineering from the University of California, Berkeley in 2013. During his time at Berkeley, he was a National Science Foundation Graduate Research Fellow and winner of the David J. Sakrison Memorial Prize for outstanding research. He has also been awarded an Air Force Young Investigator Grant. His interests lie at the intersection of material science and electrical engineering, with a focus on developing next-generation electronic and photonic devices for computing applications beyond CMOS, such as bio-inspired devices and non-von Neumann computing. His group has been pioneering technologies that enable direct growth of crystalline compound semiconductors on the back-end of CMOS wafers. Using these compound semiconductor growth technique, his group has demonstrated both traditional and emerging devices on silicon substrates. Additionally, he is the co-director of a recently created Center for Integrated Electronics and Biological Organisms (CIEBOrg) at USC, focused on fusing electronics and biological organisms at the cell and tissue level.

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