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AI Seminar

【AI Seminar】2024.4.16 “AI/GenAI Technology Trend, Impacts and Opportunities” – Roger Liao, Partner, iD Ventures America
【AI Seminar】2024.04.25 How do Transformers transform the world
【AI Seminar】2024.3.19 “From Clinical to AI - Developing AI Tools in Trauma Care” – Dr. Chi-Tung Cheng Associate Professor within the Department of Trauma and Emergency at Chang Gung Memorial Hospital
【AI Seminar】2023.12.19「Learning Representations For Robust Human-Robot Interaction」- Yen-Ling Kuo, Assistant Professor, Computer Science Department, University Of Virginia, USA
【AI Seminar】2023.12.19 "Edge Intelligence and Smart Sensing for Smart Healthcare Applications" - by Prof. Bahman Javadi, School of Computer, Data and Mathematical Sciences, Western Sydney University
【AI Seminar】2023.10.31「Extending the Data Science pipeline: Integrating Machine Learning into Edge Environments」- Omer Rana, Professor Cardiff University, College Dean of International, Professor of Performance Engineering
【AI Seminar】2023.10.17「Leveraging Natural Language Processing in Large Language Models for Academic Advancement and Bias Mitigation」- Quoc-Viet Dang, Assistant Professor UCI Electrical Engineering and Computer Science Department
【AI Seminar】2023.10.03「From Academic to Commercial: The Evolution of Large Language Models」by PhD Lun-Wei Ku, Research Fellow, Institute of Information Science, Academia Sinica, Taiwan
【AI Seminar】2023.10.03 「From Data Sharing to Trustworthy AI: the Future of Data-Driven Smart Health Care」- Prof. Yang C. Fann, National Institutes of Health (NIH), USA
【AI Seminar】2023.9.20「Unraveling the Power of Distributed Computing, Cloud and Edge Systems for Big Data Processing.」by Prof. Anna Kobusińska, Faculty of Computing and Telecommunications, Poznan University of Technology, Poland
【AI Seminar】2023.9.19「Edge computing and distributed intelligence at the edge: Should we be interested?」by Prof. Anna Kobusińska, Faculty of Computing and Telecommunications, Poznan University of Technology, Poland
【AI Seminar】2023.9.05 "Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts" - by Prof. Dr.-Ing. Wei-Chen Chiu, Computer Science, National Chiao Tung University