Cerebral and Reliable NoC-based AI Accelerator Design and Applications for Anomaly Detection in Smart Motor Systems

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Join us for our upcoming Future Computing Seminar Series

Speaker: Prof. Kun-Chih (Jimmy) Chen, NYCU Taiwan

Date: September 23rd, 2024, 14:00 CET

Where: GLC E29.1 & external page Online

Abstract: 

Artificial Intelligence (AI) techniques have demonstrated significant advantages in various domains, including image processing, speech recognition, and machine translation. Current AI computing typically involves thousands of parameters, resulting in high design complexity and power consumption when developing large-scale AI accelerators. Furthermore, contemporary AIs are often trained using extensive labeled data, making it time-consuming to generate an optimal AI model for a new dataset. The intricate nature of AI computation also gives rise to significant thermal issues. In this presentation, I will outline the key research areas of the Cereable and Reliable SoC (Ceres) Lab at National Yang Ming Chiao Tung University (NYCU), Taiwan. The first part of the talk will focus on thermal-aware multi-core system design, encompassing thermal sensor placement and proactive thermal management. Subsequently, I will discuss the design of a reconfigurable deep neural network (DNN) accelerator based on Network-on-Chip (NoC) architecture. Finally, I will shift the focus to the Industry 4.0 field, which has brought about a new era characterized by a data-centric ecosystem. I will delve into lightweight methodologies developed for anomaly detection and even the prediction of remaining useful life (RUL).

Bio:

Kun-Chih (Jimmy) Chen is currently an Electric Junior Chair Professor at National Yang Ming Chiao Tung University (NYCU), Taiwan. His research interests include Multiprocessor SoC (MPSoC) design, Neural network learning algorithm design, Reliable system design, VLSI/CAD design, and Smart manufacturing. Prof. Chen heads many services in IEEE Circuits and Systems Society, such as IEEE JETCAS Guest Editor, General Chair of NoCArc 2020. Prof. Chen has received several prestigious national and international awards, including the Dr. Ta-You Wu Memorial Award of NSTC (i.e., Presidential Early Career Award of Science and Engineer, PECASE award, in Taiwan), Chinese Institute of Electrical Engineering (CIEE) Outstanding Youth Electrical Engineer Award, Taiwan IC Design Society Outstanding Young Scholar Award, EEE Tainan Section Best Young Professional Member Award, etc. Under his leadership, his research team became the first in Taiwan to win the IEEE ISCAS Best Student Paper Award and IEEE TVLSI Best Paper Award. He is an IEEE senior member.

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