CBAIA Researcher Sharing Session – AI Industry Applications

On July.5th 2024, the CBAIA Researcher Sharing Session on AI Industry Applications brought together experts and enthusiasts to discuss cutting-edge developments in AI. The event featured insightful presentations from industry and academic leaders, covering topics from cloud computing to advanced AI planning and decision-making.


  • 18:00 – 18:30: Reception
  • 18:30 – 19:00: Cloud Computing and Microservices, by Zepeng Shen
  • 19:00 – 19:30: Planning & Decision Making with LLM, by Xidong Feng
  • 19:30 – 20:00: Project Demo and Q & A
  • 20:00 – 22:00: Dinner and Networking (牛大大特色自助餐CBAIA友情加强版)

Speakers and Sessions

Zepeng Shen, Senior Software Engineer at Ant Group London

Zepeng Shen provided an in-depth introduction to designing and deploying microservices within a cloud environment. He discussed the architecture of cloud computing, emphasizing how the scalability and flexibility of microservices can significantly enhance system performance. Shen highlighted the importance of a well-architected microservices design to ensure both scalability and maintainability, explaining that a thoughtful approach to architecture can prevent common pitfalls and improve overall system efficiency. Additionally, he explored how leveraging cloud infrastructure can optimize performance and resource management, allowing organizations to respond dynamically to varying workloads. Shen also shared best practices for deploying microservices, focusing on strategies to enhance system reliability and efficiency. By integrating these best practices, organizations can achieve robust and resilient cloud-based systems that support their operational needs.

Xidong Feng, Ph.D. Student at University College London & Student Researcher at Google DeepMind

Xidong Feng shared his research on using large language models for planning and decision-making tasks, covering advancements in generative models, single-agent/multi-agent reinforcement learning, and meta reinforcement learning. He highlighted the potential of large language models to revolutionize decision-making processes across various applications by providing more accurate and adaptive responses. Feng emphasized the integration of LLMs in reinforcement learning, which enhances the adaptability and intelligence of AI agents, allowing them to better navigate complex environments and make informed decisions. Additionally, he discussed future directions in AI research, focusing on improving the interaction between generative models and decision-making algorithms to create more sophisticated and effective AI systems.

The session included a demonstration of ongoing projects, providing a practical perspective on the discussed topics. Attendees had the opportunity to ask questions, fostering an interactive and engaging learning environment. The event concluded with a dinner and networking session, offering a unique opportunity for attendees to connect with speakers and peers. The 牛大大特色自助餐CBAIA友情加强版 provided a delightful culinary experience, enhancing the informal discussions and networking opportunities. The CBAIA Researcher Sharing Session on AI Industry Applications was a resounding success, offering valuable knowledge and fostering meaningful connections within the AI community.