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He conducts research on topics related to the application of artificial intelligence in manufacturing and healthcare, AI accelerators, VLSI design, high-performance computing, parallel and distributed computing, computer architectures, and computer networks.
Professor Kung is an elected member of the US National Academy of Engineering for introducing the idea of systolic computation, contributions to parallel computing, and applying complexity analysis to very-large-scale-integrated (VLSI) computation. In addition, Professor Kung is a Guggenheim Fellow, an elected member of the Academia Sinica in Taiwan, as well as the president and co-founder of the Taiwan AI Academy, a non-profit organization which has cultivated over 10,000 AI talents for industries since 2019.
Professor Kung is an elected member of the US National Academy of Engineering for introducing the idea of systolic computation, contributions to parallel computing, and applying complexity analysis to very-large-scale-integrated (VLSI) computation. In addition, Professor Kung is a Guggenheim Fellow, an elected member of the Academia Sinica in Taiwan, as well as the president and co-founder of the Taiwan AI Academy, a non-profit organization which has cultivated over 10,000 AI talents for industries since 2019.
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Evizal Abdul Kadir,Hsiang Tsung Kung,Amal Abdullah AlMansour,Hitoshi Irie,Sri Listia Rosa, Shukor Sanim Mohd Fauzi
ENVIRONMENTSno. 7 (2023): 124-124
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CoRR (2023)
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Springer eBookspp.589-602, (2023)
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2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)no. 1 (2022): 19195-19205
2022 IEEE Region 10 Symposium (TENSYMP)pp.1-7, (2022)
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