Distinguished Seminar Series on Data Science & Artificial Intelligence - "Federated Cloud Computing Expands Medical Large Models and Embodied Artificial Intelligence"

Artificial intelligence and universal cloud-based medical and health services are becoming frontier research directions. This report provides a systematic analysis of the current development of AI technologies and their performance evaluation. It examines the federated cloud computing platforms, analyzes their learning capabilities, and evaluates their applications in the medical field. The discussion of intelligent robotics focuses on their morphology and motion mechanisms, perception and learning processes, and human–machine collaborative cognitive abilities. It also explores AI systems in terms of stability, scalability, privacy protection, and hospital automation (Agentic AI). The report will use Google’s Gemini as an example to illustrate the application of ecosystem mapping for biomedical large models.

The related work is based on a joint research platform supported by The Chinese University of Hong Kong (Shenzhen), the Shenzhen Institute of AI and Robotics for Society (AIRS), and the Cloud Computing Research Center of the Chinese Academy of Sciences. The research mainly focuses on the development and performance optimization of intelligent cloud medical big data. In collaboration with Inspur Corporation, the team has built a prototype medical system based on a 5G and big-data supercomputing platform, which received the 2021 Wu Wenjun AI Natural Science Award. The report will review the development trends of brain–computer interface technologies, aiming to provide theoretical references and practical insights in AI-driven medical technologies.