The Department of Computer Science and Technology at the University of Cambridge has launched the Accelerate Programme for Scientific Discovery, which deeply integrates AI with traditional research through a series of interdisciplinary initiatives, including the intelligent analysis of complex systems, the creation of the Human Developmental Cell Atlas, the use of data science to understand mental health, the study of complex geometry in string theory, the establishment of digital twin models for personalized treatment recommendations, and the exploration of LLM applications in interdisciplinary research. These initiatives not only push the boundaries of science but also equip a generation of researchers with AI-centric thinking. More importantly, the program highlights digital intelligence education as an effective tool for future-focused collaboration in specialized development. Through study groups, online modules, and workshops, the program promotes knowledge sharing, skills enhancement, and the establishment of a global research collaboration network.

The success of the program heralds the following trends in digital intelligence education. First, interdisciplinary knowledge integration and innovation: AI will bridge disciplines and spawn new research fields. Second, enhancement of practical application skills: AI will empower young researchers to lead scientific and societal advancement. Third, expansion of collaboration opportunities: The increased international academic cooperation and exchanges will foster a global research ecosystem.