【演講公告】2026/7/９ 邀請Prof. Yiran Chen ( Duke University ) 演講：Edge AI: Everything, Everywhere, All at Once
2026-07-02
演講主題：Edge AI: Everything, Everywhere, All at Once
演講時間及地點：2026/07/09星期四 10:00~12:00 博理館201演講廳
講者介紹：Prof. Yiran Chen ( Duke University )
Yiran Chen is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He serves as the Principal Investigator and Director of the NSF AI Institute for Edge Computing Leveraging Next Generation Networks (Athena), the Director of the Institute for AI Engineering (IAIE), and the Co-Director of the Duke Center for Computational Evolutionary Intelligence (DCEI). His research group focuses on innovations in emerging memory and storage systems, machine learning and neuromorphic computing, and edge AI. Dr. Chen has authored over 700 publications and holds 96 U.S. patents. His work has received widespread recognition, including three Test-of-Time Awards and 15 Best Paper/Poster Awards. He is the recipient of the IEEE Circuits and Systems Society’s Charles A. Desoer Technical Achievement Award, the IEEE Computer Society’s Edward J. McCluskey Technical Achievement Award, and the IEEE Council on Electronic Design Automation’s A. Richard Newton Technical Impact Award. He also serves as the inaugural Editor-in-Chief of the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI) and the founding Chair of the IEEE Circuits and Systems Society’s Machine Learning Circuits and Systems (MLCAS) Technical Committee. Dr. Chen is a Fellow of the AAAS, ACM, IEEE, and NAI, and a member of the European Academy of Sciences and Arts.
演講大綱：
Edge Artificial Intelligence (Edge AI) refers to systems that execute AI models directly on devices located at or near the point of data generation. Operating locally, these interconnected systems collect and process diverse forms of data, offering distinct advantages such as enhanced privacy and reduced latency. However, deploying AI models on resource-constrained platforms remains a major challenge. Such devices are limited in computing power, memory, energy, and communication capacity, creating a gap between the demands of advanced AI models and the capabilities of current hardware—ultimately hindering the widespread adoption of Edge AI systems. In this talk, we will explore algorithmic and hardware innovations that enable Edge AI to process multimodal data efficiently and effectively (Everything), operate reliably under stringent resource constraints (Everywhere), and collaborate seamlessly across heterogeneous platforms (All at Once).
主辦單位：教育部先進製程IC設計及驗證環境建置計畫
協辦單位：台大電子所/聯發科技-臺大創新研究中心/智慧設計自動化聯盟
報名連結:https://forms.gle/tdYnmPH7gErb7wWq6
演講聯絡人:台大電子所專任助理 邱小姐02-33663718
