Keynote Speech 1: Learning and Feedback in the Control of Uncertain Systems⇒
By Lei Guo (Academy of Mathematics and Systems Science, Chinese Academy of Sciences)
Keynote Speech 2: A Paradigm Shift in Machine Learning: From Data to Data- Knowledge Environment⇒
By Witold Pedrycz (University of Alberta, Edmonton, Canada)
Keynote Speech 3: Advanced Technology and Innovative Application of Embodied Intelligence for Pan-vascular Interventional Surgery Robots⇒
By Shuxiang Guo (Southern University of Science and Technology, China)
Keynote Speech 4: Collaborative Innovation Technologies and Applications for Large and Small Models⇒
By C. L. Philip Chen (South China University of Technology, China)
Keynote Speech 5: Opportunities and Challenges for Medical Robotics in the Age of AI⇒
By Zengguang Hou (Institute of Automation, Chinese Academy of Sciences)
Keynote Speech 6: Embodied Intelligence and Its Impact on the Future Development of Artificial Intelligence⇒
By Fuchun Sun (Tsinghua University, China)
Keynote Speech 7: Adaptive Intelligent Robotic Control Using Fuzzy Deep, Broad and Reinforcement Learning Techniques⇒
By Ching-Chih Tsai (Chung Hsing University, China)
Keynote Speech 8: AI-Driven High-Definition Glasses-free 3D Light Field Display with Large-Viewing-Angle⇒
By Xinzhu Sang (Beijing University of Posts and Telecommunications, China)
Keynote Speech 9: Enhancing Collaborative Filtering for Advanced Recommender Systems⇒
By Yasufumi Takama (Tokyo Metropolitan University, Japan)
Keynote Speech 10: Interpretability and Transferability in Deep Learning⇒
By Kazuhiko Kawamoto (Chiba University, Japan)
Keynote Speech 11: Can LLMs Revolutionize Formal Verification: Gaps and Opportunities?⇒
By Prof. Shing-Chi Cheung（The Hong Kong University of Science and Technology）
