2025 Invited Talk: Prof. Chin-Hui Lee，AI Everywhere: Past, Present and Future
Title: AI Everywhere: Past, Present and Future
Recently, artificial intelligence (AI) has gone through tremendous progress spurred by hardware and software support in machine learning (ML) computation using neural networks (NNs). Based on Komogorov-Arnold Representation Theorem (1957), a multivariate function can be exactly expressed as a superposition of a finite number of outer functions with another linear combination of inner functions embedded within. Cybenko (1989) then developed a Universal Approximation Theorem showing such a function can be closely approximated by a superposition of sigmoid functions used as cascade inner and outer structures in NN representations. Moreover, The Nobel Prize in Physics 2024 was awarded to Hopfield and Hinton, two neural network pioneers. At a global level, the US proposed an AI Manhattan Initiative and a $500B Stargate investment to strengthen AI infrastructures, EU started a Stargate-like effort, Taiwan will increase computing power to 1200 pentaflops by 2029, and Japanese AI is reshaping economy and industry.
In this talk, we will begin with a discussion on three pre-AI efforts to imitate human intelligence via teaching machines to speak, listen and translate. All three are related to speech and language processing, capabilities unique to human beings. Next, we examine AI-based applications, such as ChatGPT, Gemini, Gork, Copilot, NLLB-200, and DeepSeek, that are now being practiced by a wide spectrum of daily users. Although most AI computation is carried out by large computing farms on clouds, low-cost, edge AI is slowly emerging. Next, we believe knowledge-driven AI and domain-specific transfer learning are future directions. Responsible AI and trustworthy AI will be globally governed to secure AI usage. Finally, AI personalization will be widely deployed to deliver true values to our society.
Date and Time
Location
Hosts
Registration
- Start time: 29 May 2025 02:00 PM UTC
- End time: 30 May 2025 04:00 AM UTC
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- NYCU
- Hsinchu, T'ai-pei
- Taiwan
- Building: ED
- Room Number: 108
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- Co-sponsored by Li-Chun Wang
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- Starts 06 May 2025 07:41 AM UTC
- Ends 29 May 2025 01:00 AM UTC
- No Admission Charge
Speakers
Chin-Hui Lee
Biography:
Speaker: Chin-Hui Lee, IEEE Fellow, School of ECE, Georgia Tech
Chin-Hui Lee is a professor at School of Electrical and Computer Engineering, Georgia Institute of Technology. Before joining academia in 2001, he had accumulated 20 years of industrial experience ending in Bell Laboratories, Murray Hill, as the Director of the Dialogue Systems Research Department. Dr. Lee is a Fellow of the IEEE and a Fellow of ISCA. He has published over 600 papers and 30 patents, with more than 30,000 citations and an h-index of 88 on Google Scholar. He received numerous awards, including the Bell Labs President's Gold Award in 1998. He won the SPS's 2006 Technical Achievement Award for “Exceptional Contributions to the Field of Automatic Speech Recognition''. In 2012 he gave an ICASSP plenary talk on the future of automatic speech recognition. In the same year he was awarded the ISCA Medal in Scientific Achievement for “pioneering and seminal contributions to the principles and practice of automatic speech and speaker recognition''. His two pioneering papers on deep regression accumulated over 2000 citations and won a Best Paper Award from IEEE Signal Processing Society in 2019.