敏求智慧運算學院很榮幸將邀請郭宗杰院士蒞臨成大演講。郭宗杰院士於今年獲選為中央研究院院士，他專精多媒體通訊技術，在影像壓縮技術上擁有許多專利，並廣泛應用於視訊會議；另在電影後製的特效領域上，開發許多專利技術，曾獲得美國國家發明家學院的青睞，於2020年獲頒美國國家發明家學院院士。 郭宗杰院士目前正在研究綠能與人工智慧的結合，也就是Green AI。他說，現有的人工智慧技術包括深度學習、神經網絡，都需要大量消耗能源，正著手研究如何使用低耗能去做到機器學習，他相信這是未來的趨勢。這場演講，他將帶來Green Learning-小模型、低耗能、低碳足跡、低運算複雜度及具數學上可解釋性的機器學習。 郭宗杰院士於台大電子工程學系畢業後，於麻省理工學院(MIT)取得電腦科學碩士及電機工程博士學位，自1989年任教於南加大電機工程與電腦科學系。長年居住於美國的他，難得蒞臨成大演講，同學們把握機會報名，抓住與大師面對面的機會！

郭宗杰院士大師講座

【主講人】郭宗杰 院士
【講題】 Green Learning: Methodology, Examples and Outlook
【時間】 2022年12月27日 10:30-12:00
【地點】成功大學電機系館 迅慧講堂
【報名連結】請於12月26日中午前點此連結報名

Abstract

The rapid advances in artificial intelligence in the last decade are primarily attributed to the wide applications of deep learning (DL). Yet, the high carbon footprint yielded by larger DL networks is a concern to sustainability. Green learning (GL) has been proposed as an alternative to address this concern. GL is characterized by low carbon footprints, small model sizes, low computational complexity, and mathematical transparency. It offers energy-effective solutions in cloud centers as well as mobile/edge devices. It has three main modules: 1) unsupervised representation learning, 2) supervised feature learning, and 3) decision learning. GL has been successfully applied to a few applications. This talk provides an overview on the GL solution, its demonstrated examples, and technical outlook. The connection between GL and DL will also be discussed.

Bio

 Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as William M. Hogue Professor, Distinguished Professor of Electrical and Computer Engineering and Computer Science, and Director of the Media Communications Laboratory. His research interests are in visual computing and communication. He is a Fellow of AAAS, NAI, IEEE and SPIE and an Academician of Academia Sinica. Dr. Kuo has received a few awards for his research contributions, including the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the 2019 IEEE Signal Processing Society Claude Shannon-Harry Nyquist Technical Achievement Award, the 72nd annual Technology and Engineering Emmy Award (2020), and the 2021 IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award. Dr. Kuo was Editor-in-Chief for the IEEE Transactions on Information Forensics and Security (2012-2014) and the Journal of Visual Communication and Image Representation (1997-2011). He is currently the Editor-in-Chief for the APSIPA Trans. on Signal and Information Processing (2022-2023). He has guided 164 students to their PhD degrees and supervised 31 postdoctoral research fellows.