國立高雄科技大學電子工程系特聘教授兼研發長
講者: 洪盟峰
生成式 AI 已經開啟全球產業轉型與全民生活的新世代。面對這波科技浪潮，NVIDIA 經典的「五層蛋糕架構」不僅是技術堆疊，更明確指出了未來網路智慧（Network Intelligence）時代下的產業發展框架。本演講將透過此全棧視角，深入剖析臺灣「AI 新十大建設」的宏觀佈局。演講將聚焦於架構中的「分層發展與產業分工」，探討如何透過產學共創促進經濟發展，這已是未來必經的路程。我們將層層拆解從底層算力網路到頂層「創新 AI 應用實例」的落地——包含智慧交通、智慧照護與韌性電網等全民智慧生活圈。此外，本演講將特別強調，技術背後的「AI 賦能與人才培育」正是烘焙這塊架構蛋糕的隱形燃料。最終，期望透過「公私協力驅動創新」全面打通數據與算力的網絡智慧流動，釀造出互聯、安全且具備數位韌性的 AI 全域生態系，搶佔下世代網絡智慧的關鍵節點。
電子工程系主任、行政院科技會報/資策會合聘研究員、中華民國民生電子學會理事長, IEEE SPS Tainan Chapter Chair,中華民國人工智慧學會常務理事、台灣數位永續協會監事、交通大學南部校友會長、高市府研考會委員。
Department of Electrical and Computer Engineering
Co-Director, Cross Pacific AI Initiative of UW
University of Washington, Seattle, WA, USA
Prof. Jenq-Neng Hwang
Human motion analysis via human pose estimation in both 2D and 3D remains
a fundamental yet challenging problem in computer vision. On the other hand,
it has broad applications in action recognition, human-computer interaction, motion analysis,
and object tracking. Despite recent advances, achieving robustness and efficiency in real-world and edge-device scenarios remains difficult.
This talk will first review perceptual AI techniques for human motion understanding, based on 2D/3D human pose estimation,
and generative AI techniques for human motion generation based on a novel diffusion-based framework for joint motion and text generation via mutual prompting.
Several practical applications of these techniques will also be discussed.
Dr. Jenq-Neng Hwang received the BS and MS degrees,
both in electrical engineering from the National Taiwan University,
Taipei, Taiwan, in 1981 and 1983 separately. He then received his Ph.D.
degree from the University of Southern California. In the summer of 1989, Dr. Hwang joined the
Department of Electrical and Computer Engineering (ECE) of the University of Washington in Seattle,
where he has been promoted to Full Professor since 1999. He served as the Associate Chair for Research from 2003 to 2005,
and from 2011-2015. He also served as the Associate Chair for Global Affairs from 2015-2020.
He is currently the International Programs Lead in the ECE Department. Currently, he serves as the Co-Director of Cross-Pacific
AI Initiative (X-PAI) in the College of Engineering (CoE), UW. He is the Founder and Director of the Information Processing Lab.,
which has won several AI City Challenges awards in the past years. He has written more than 450 journal, conference papers and book chapters in the areas of
machine learning, multimedia signal processing, computer vision, and multimedia system integration and networking (my Google citation),
including an authored textbook on "Multimedia Networking: from Theory to Practice," published by Cambridge University Press. Dr. Hwang has close working relationship
with the industry on artificial intelligence and machine learning.
Dr. Hwang received the 1995 IEEE Signal Processing Society's Best Journal Paper Award.
He is a founding member of Multimedia Signal Processing Technical Committee of IEEE Signal
Processing Society and was the Society's representative to IEEE Neural Network Council from
1996 to 2000. He is currently a member of Multimedia Technical Committee (MMTC) of IEEE Communication
Society and also a member of Multimedia Signal Processing Technical Committee (MMSP TC) of IEEE Signal Processing Society.
He served as associate editors for IEEE T-SP, T-NN and T-CSVT, T-IP and Signal Processing Magazine (SPM).
He served as the General Co-Chair of 2021 and 2022 IEEE World AI IoT Congress,
Seattle, WA. He also served as the Program Co-Chair of IEEE ICME 2016 and was the Program Co-Chairs of ICASSP 1998 and ISCAS 2009.
Dr. Hwang is a fellow of IEEE since 2001.
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