J. Joshua Yang
University of Southern California
Analog Computing with High Precision and Programmability Enabled by Memristors
Analog computing typically has superior energy efficiency and high throughput, but limited precision and programmability. We introduce memristive field-programmable analog arrays (FPAAs) to improve its reconfigurability. We engineer memristor device with 11-bit precision and develop a novel architecture to achieve arbitrarily high precision for vector-matrix multiplications.
About J. Joshua Yang
Dr. J. Joshua Yang is the Arthur B. Freeman Chair professor of Electrical and Computer Engineering in the Ming Hsieh Department of Electrical and Computer Engineering. He joined USC in 2020, coming from the faculty of the University of Massachusetts, Amherst. Specializing in post-CMOS hardware for neuromorphic computing, machine learning, and artificial intelligence, he has published many groundbreaking research papers in these domains. His innovative work has led to the granting of over 120 US patents. He was recognized as a Distinguished Faculty lecturer at UMass, culminating in him receiving the UMass Chancellor’s Medal (2020), the institution’s highest honor. He contributes professional service to numerous international journals, conferences, and committees. He is the Associate Editor of Science Advances and the Founding Chair of the IEEE Neuromorphic Computing Technical Committee (2021). He currently serves as the director of an Air Force-funded Center of Excellence on Neuromorphic Computing at USC. Recognized as a Clarivate Highly Cited Researcher and listed among the Top Best Scientists in the Electronics and Electrical Engineering category by Research.com, he was elected Fellow of the IEEE (2022) and of the National Academy of Inventors (NAI) (2023), for his contributions to resistive switching materials and devices for nonvolatile memory and neuromorphic computing.
