From July 27 to August 3, 2025, five students from the School of Automation at the University of Science and Technology Beijing (USTB) took part in an eight-day Artificial Intelligence and ChatGPT Program hosted by Nanyang Technological University (NTU) in Singapore. The program combined classroom learning with practical projects, group collaboration, and cross-cultural exchange—offering not only academic enrichment but also fresh perspectives on the future of “Automation + AI.”

During the course, Professor Lim Wei Yang Bryan from NTU’s School of Computer Science and Data Science delivered a series of lectures that blended theory with real-world examples. Following a “foundation–advanced–application” framework, he guided students through the core concepts of machine intelligence and human–machine interaction.

The curriculum covered both theoretical and applied topics in artificial intelligence and GPT technologies, exploring how machines learn from data and how these innovations are reshaping industries such as healthcare and entertainment. Through courses including Introduction to Artificial Intelligence, Neural Network Theory, Neural Network Practice, and Language Models and System Interaction, along with group discussions and final presentations, students gained an immersive understanding of NTU’s academic culture and innovation-driven approach.

To connect theory with practice, students worked in teams to conduct themed research projects and presented their results during the Group Project Presentation session, which served as their final assessment. This process deepened their understanding of AI and chatbot technologies, while strengthening their practical problem-solving, teamwork, and project execution skills.

As part of the program, participants visited Huawei Cloud Singapore, where representatives introduced them to the “HUAWEI Campus OptiX” exhibition area. Students explored cutting-edge technologies ranging from all-optical campus networks to next-generation battery solutions. They took part in interactive demonstrations—examining the inner structures of intelligent devices, observing design details firsthand, and gaining a tangible sense of how optical networking and energy technologies support sustainable smart cities.

At the conclusion of the program, all five students successfully passed the final evaluation and received official completion certificates issued by NTU’s organizing department.

This international study program offered a valuable platform for academic exchange, strengthening students’ expertise in artificial intelligence and machine learning while broadening their global perspectives. Moving forward, the USTB School of Automation will continue to promote international learning opportunities.