IOTSC Distinguished Visiting Scholar Series: The Age of AI
shirleyfong2024-01-14T00:00:14+08:00Dear Colleagues and Students,
The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “UM Distinguished Visiting Scholar Series” on 15/12/2023 (Friday). We are pleased to invite Prof. Sun-Yuan Kung from Princeton University, US, as the speaker.
UM Distinguished Visiting Scholar Series: The Age of AI
Speaker: Prof. Sun-Yuan Kung, Professor, Princeton University, US
Date: 15/12/2023 (Friday)
Time: 16:00 – 17:00
Language: English
Venue: N21-5010
Abstract:
This talk will cover the evolution of AI; presents its potential challenge toward general intelligence; and projects future education on data science. Neural networks (NNs) have played pivotal role in our smooth sailing from rule-based AI 1.0 to data-driven AI 2.0. Thus, we shall first review the history of deep learning networks covering MLP (NN1.0), CNN, (NN2.0) and transformers (NN3.0) and then address a frequently asked question: are neural networks biologically inspired? Admittedly, NN’s parameter learning paradigm, i.e. back-propagation is anything but bio-inspired. Nevertheless, for the structural learning paradigm, we can benefit greatly from some relevant biological clues. Note that meaningful learning only starts when we are from age 6 to 14 years old. During that period, our brain learns to prune out useless synaptic connections, making it more intelligent. This prompts us a Regressive Neural Architectural Search learning paradigm, effective for network structural optimization for MLPs, CNNs, and transformers.
Speaker’s Bio:
S.Y. Kung, Life Fellow of IEEE, is a Professor of Electrical and Computer Engineering at the Princeton University. His research areas include VLSI array processors, AI algorithms, machine learning, deep learning networks, neural architectural search, and compressive privacy. He was a founding member of several Technical Committees of the IEEE Signal Processing Society. He was elected to Fellow of IEEE in 1988 and served as a Member of the Board of Governors of the IEEE Signal Processing Society (1989-1991). He was a recipient of IEEE Signal Processing Society’s Technical Achievement Award for the contributions on “parallel processing and neural network algorithms for signal processing” (1992); a Distinguished Lecturer of IEEE Signal Processing Society (1994); a recipient of IEEE Signal Processing Society’s Best Paper Award (1996); IEEE Third Millennium Medal (2000), and CIE-USA’s Distinguished Achievement Award (2023). Since 1990, he has been the Editor-In-Chief of the Journal of VLSI Signal Processing Systems. He has authored and co-authored more than 500 technical publications and numerous textbooks including VLSI Array Processors, Prentice-Hall (1988); Digital Neural Networks, Prentice-Hall (1994) ; Principal Component Neural Networks, John-Wiley (1996); Biometric Authentication: A Machine Learning Approach, Prentice-Hall (2004); and Kernel Methods and Machine Learning, Cambridge University Press (2014).
For enquiries: Tel: 8822 8070
Email: shirleyfong@um.edu.mo
Best Regards,
State Key Laboratory of Internet of Things for Smart City (University of Macau)