Abstract:

The term “Artificial Intelligence (AI)” was coined in 1956. Although the field evolved slowly in the first 55 years, we have witnessed rapid advances in AI in the last decade (e.g., the ChatGPT service). Questions are raised about AI’s role in human society and civilization, e.g., whether AI will replace human intelligence (HI), how HI and AI complement each other, etc. I will shed light on them. Then, I will comment on the limitations of today’s deep-learning-based (DL) AI models. DL-based models are neither interpretable nor sustainable. An alternative methodology is desired. To this end, I have investigated a new statistically-based AI/ML framework called “Green Learning” (GL). GL significantly reduces the model size and complexity of DL models while yielding competitive performance and allowing mathematical transparency. GL adopts the feedforward one-pass training pipeline, so all intermediate results are explainable. GL leverages ensemble learning for hard samples to boost prediction accuracy. I will present recent developments in GL and its outlook.

Bio:

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 175 students to their Ph.D. degrees and supervised 31 postdoctoral research fellows.