The Harbin Institute of Technology (HIT) School of Mathematics welcomed students globally for its “Mathematics and Artificial Intelligence” summer school, held successfully from July 14th to 25th. Focused on the exciting frontier of Bayesian deep learning, the program provided a unique learning opportunity.
Eighty-four outstanding students took part, representing prestigious Chinese universities such as Shanghai Jiao Tong University, Fudan University, and the University of Science and Technology of China, alongside international participants from Spain, Russia, Uzbekistan, and other countries. This rich blend of cultures and academic traditions created a dynamic environment for learning and collaboration, infusing the event with a lively multicultural spirit.
Participants learned from an impressive lineup of instructors: renowned scholars from Imperial College London, the National University of Singapore, Ludwig Maximilian University of Munich, and other world-class institautions. These leading researchers in Bayesian deep learning not only presented their cutting-edge work but also offered fresh global perspectives and creative teaching methods, opening doors for students to delve deeper into this advanced area of study.
Registration
On July 13th, participants arrived and completed registration, supported by a dedicated volunteer team. These volunteers provided essential guidance throughout the process, helping students activate their campus cards, check into dormitories, and get acquainted with campus life.
Lectures
The summer school centered on Bayesian deep learning—an innovative approach merging deep learning with Bayesian methods. Traditional deep learning models often struggle to accurately assess uncertainty when handling complex, dynamic data. Bayesian deep learning tackles this limitation by treating model parameters as random variables and incorporating prior knowledge. This allows for more effective uncertainty quantification, leading to models that are more robust and generalize better.
Real-World Applications
This powerful approach has significant practical applications:
Healthcare Diagnostics: Models can analyze diverse patient data (symptoms, history, test results) to provide not just a diagnosis, but also an assessment of the uncertainty around that diagnosis. This gives doctors a more comprehensive foundation for decision-making.
Autonomous Driving: In complex and uncertain road conditions, these models can estimate the real-time risks associated with driving decisions, significantly enhancing the safety of autonomous systems.
Engaging Learning Experience
The curriculum started with the foundational theories of Bayesian deep learning and progressively moved to model construction, algorithm optimization, and practical case studies. Lectures were highly interactive, with participants actively asking questions and engaging in lively discussions with instructors.
Beyond the Classroom: Cultural Exchange
Outside of lectures, participants organized vibrant cultural exchange activities. They shared traditions, customs, and academic practices from their home countries. These interactions broadened everyone’s international perspectives, fostered strong friendships, and built lasting cross-border academic connections.
Closing remarks
As the summer school concluded, participants expressed immense satisfaction with the experience. They significantly deepened their knowledge and skills in Bayesian deep learning and forged valuable connections with outstanding scholars and peers from around the globe. This lays a solid foundation for future academic collaborations and personal growth.
For the School of Mathematics at HIT, successfully hosting this event provided valuable experience in teaching and research at the intersection of mathematics and artificial intelligence. It further enhanced the school’s influence within the international academic community. Looking ahead, the school is committed to organizing more high-quality academic events to advance mathematics and AI, while cultivating talented individuals with global vision and innovative capabilities. The summer school concluded with participants receiving certificates of completion.
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审核：吴婉琼