Unleashing the Potential of Edge Computing with AI Hardware and Software Innovations

Dr. Yiran Chen

Professor of Electrical and Computer Engineering

Director of the NSF AI Institute for Edge Computing Leveraging the Next-generation Networks (Athena),

Director of NSF Industry-University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC)

Co-director of Duke Center for Computational Evolutionary Intelligence (DCEI)

Duke University

10/13/2023

11AM – 12PM CST

Location: UTSA Main Campus, Student Union Denman Room 2.01.28 (Second Floor)

Zoom: https://utsa.zoom.us/j/91049981814

Abstract: Edge computing has emerged as a powerful paradigm, shifting data processing and analysis closer to its origin points, resulting in real-time insights, reduced latency, and improved privacy. AI hardware and software innovations further unleash the potential of edge computing by enhancing the intelligence, efficiency, and elasticity of the systems. In this talk, we will discuss the customization of AI hardware and the optimization of AI models, considering the computing resource constraints and communication bandwidth limitations of edge devices, the security and privacy requirements of the systems, and the heterogeneity of data and devices.