Topic: Data-driven next generation medical research and healthcare system Speaker: Chin Lin, Associate Professor, School of Medicine, National Defense Medical Center Time: 2024/10/01(Tue) 14:10-16:00 Venue: CGU Artificial Intelligence Research Center (Management Building 11F) Join Online: https://gqr.sh/VD5p   About the Speaker: Dr. Lin's primary research focuses on the development of artificial intelligence models and their integration into clinical practice to validate improvements in healthcare quality. Dr. Lin's most renowned work is the AI-enabled ECG interpretation platform, capable of detecting over 50 diseases from a single ECG. This platform has initiated more than 10 clinical trials and has recently demonstrated the benefits of AI-ECG in reducing short-term mortality.   Abstract: Medical research is the foundation of health care systems. In recent decades, researchers have developed a framework that has significantly improved the quality and efficiency of healthcare. With advancements in deep learning, AI is poised to play a crucial role, but this also poses challenges to the traditional medical research paradigm. In response, the National Defense Medical College (NDMC) team is focusing on utilizing AI to re-analyze existing medical data, enabling opportunistic patient screening. This presentation will share the NDMC team’s experience in smart healthcare, highlighting how retrospective studies and clinical trials point to the future of a healthcare system shaped by human-machine collaboration.。   Organizers: College of Intelligent Computing & Artificial Intelligence Research Center   ※ No registration needed.  

Topic: Decoding Biological Language  in Membrane Proteins:  Combining Protein Language Model Embeddings with Multi-Window Scanning Deep Learning  for Functional Identification Speaker: Yu-Yen Ou Prof. of Dept. of Computer Science and Engineering, Yzu University Time: 2024/09/24(Tue) 14:00-16:00 Place: The Management Building, 11F, Chang Gung University, AI Lecture Hall Join Online: https://gqr.sh/awHN   About the Speaker: Yu-Yen Ou earned his Ph.D. in Computer Science from National Taiwan University in 2005 and is currently a professor in the Department of Computer Science and Engineering at Yuan Ze University. His research interests include machine learning and bioinformatics, particularly focusing on protein sequence function prediction and identification. Since 2016, he has pioneered the integration of deep learning and natural language processing in membrane protein sequence analysis. Professor Ou has received the 21st Outstanding Professor Award from the Far Eastern Y. Z. Hsu Science and Technology Memorial Foundation and several research grants from Taiwan's Ministry of Science and Technology.   Abstract: This presentation will explore the integration of protein language pre-training models with multi-window scanning deep learning techniques to decode and analyze the biological language embedded within membrane protein sequences. We will first utilize protein language models such as ProtTrans or ESM-2 to transform protein sequences into high-dimensional vector embeddings, capturing the intricate biological language within these sequences. Following this, we will employ multi-window convolutional neural networks (MCNN) to extract features across various scales, enabling the identification of membrane protein functions based on these language features. This innovative approach, combining language models with multi-scale analysis, not only enhances our understanding of membrane and transporter proteins but also offers new perspectives and potential applications in the field of bioinformatics.     Organizers: College of Intelligent Computing & Artificial Intelligence Research Center   ※ No registration needed.

Chang Gung University College of Intelligent Computing and Poznan University of Technology joint host the “Taiwan-Poland AI Summit”. This webinar gathers top AI researchers from both Taiwan and Poland to exchange cutting-edge AI research findings and explore research collaboration opportunities between the two countries. The summit focuses on three main themes: ◆    AI in Medicine & Health ◆ Robotics & Computer Vision ◆ LLM & Trustworthy AI 【Taiwan-Poland AI Summit】 Time: May 23, 2024 (Thu), 15:30-17:20 (GMT+8) Join online: https://reurl.cc/jWlRvL (Microsoft Teams) § Themes and Speakers List § ◆    AI in Medicine & Health 。  Kuan-Fu Chen, Clinical Associate Professor, Department of Artificial Intelligence, Chang Gung University 。  Michał Woźniak, Professor and Chair, Department of Systems and Computer Networks, Wrocław University of Technology 。  Krzysztof Krawiec, Professor, Institute of Computing Science, Poznan University of Technology ◆ Robotics & Computer Vision 。  Yen-Ling Kuo, Anita Jones Faculty Fellow and Assistant Professor, Computer Science, University of Virginia 。  Bogdan Kwołek, Professor, Department of Computer Science, Faculty of Computer Science and Telecommunications, AGH University of Science and Technology 。  Piotr Skrzypczynski, Professor and Chairman of the Division, Mobile Robotics Lab, Poznan University of Technology ◆ LLM & Trustworthy AI 。  Chun-Hsin Wu, Associate Professor, Department of Computer Science and Information Engineering, National University of Kaohsiung 。  Przemysław Kazienko, Professor, Department of Artificial Intelligence, Faculty of Information and Communication Technology, Wroclaw University of Technology 。  Przemysław Biecek, Professor, Faculty of Mathematics and Information Science, Warsaw University of Technology

The 26th TAAI "AI Forum 2024" at Chang Gung University (CGU) is jointly hosted by CGU College of Intelligent Computation, CGU Artificial Intelligence Research Center, National Taiwan University IoX Center, and the Taiwanese Association for Artificial Intelligence (TAAI) from May 24 to 25 (Fri & Sat), 2024.   The AI Forum stands as a premier annual gathering in the field of artificial intelligence research in Taiwan, fostering vibrant exchanges and the sharing of groundbreaking knowledge among leading experts and scholars.   This year, AI Forum 2024 proudly features an illustrious lineup of distinguished speakers, comprising three globally recognized scholars: HT Kung, Academician of the Academia Sinica and William H. Gates Professor of Computer Science and Electrical Engineering at Harvard University Jerzy Stefanowski, Member of the Polish Academy of Sciences and Professor at Poznan University of Technology Institute of Computing Science Tsung-Han Tsai, Researcher at the Academia Sinica Research Center for Humanities and Social Sciences and Professor at National Central University Department of Computer Science and Information Engineering   Complemented by various outstanding Taiwanese AI experts as invited speakers to share their advanced and innovative research findings: Professor Chien-Yu Chen, National Taiwan University Professor Shang-Tse Chen, National Taiwan University Professor Yao-Chung Fan, National Chung Hsing University Professor Ping-Chun Hsieh, National Yang Ming Chiao Tung University Professor Yen-Ling Kuo, University of Virginia Professor Chi-Chun Lee, National Tsing Hua University Professor Chun-Yi Lee, National Tsing Hua University Professor Horng-Shiong Lu, National Yang Ming Chiao Tung University Research Fellow Chien-Yao Wang, Academia Sinica Professor Chun-Hsin Wu, National University of Kaohsiung   The AI Forum also calls for posters on AI-related research as well as NSTC project exhibition funded under the area of Intelligent Computing or Information Engineering. Poster submission deadline: May 17, 2024   Join us for AI Forum 2024—a captivating and intellectually stimulating academic symposium designed to inspire, facilitate meaningful academic exchanges, and drive forward the frontier of AI research and application. For more info, please visit: http://taaiforum2024.cgu.edu.tw/ Online registration deadline: May 5, 2024