Demystify Artificial Intelligence and Technology Outlook


　　　 中央研究院永續科學中心

　　　Future Earth Taipei


主題簡介

The term “Artificial Intelligence (AI)” was coined in 1956. The field evolved slowly in the first 50 years. Yet, we have witnessed rapid advances in AI in the last decade. One example is the availability of the ChatGPT service. Questions have been raised about the role of AI in human society and civilization, e.g., whether AI will replace human intelligence (HI), how HI and AI complement each other, etc. In this talk, I will shed light on two issues. First, it is common to divide AI into two categories: strong AI and weak AI. Strong AI is close to HI while today’s AI still belongs to the weak AI category. There is a substantial gap between weak and strong AI. AI should be human’s servants and tools (rather than a master) from such a perspective. Second, I will point out the limitations of today’s AI tools based on deep learning (DL). DL is neither interpretable nor sustainable. It is critical to develop an alternative AI methodology that is interpretable and sustainable. I have conducted research on this problem since 2015 and propose a green learning (GL) paradigm. GL significantly reduces the model size and the complexity of DL models, yielding green AI solutions. The GL methodology will be briefly presented.


講者簡介

Dr. C.-C. Jay Kuo received his Ph.D. 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, ACM, IEEE, NAI, 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 173 students to their Ph.D. degrees and supervised 31 postdoctoral research fellows.

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