Foretell of Future AI from Mathematical Foundation

Workshop Schedule

Monday, January 26th, 2026 – all times Singapore local time – Grand Mercure Roxy Hotel - Brooke

09:00 am - 09:15 am Introduction and Opening Remarks

09:15 am - 09:45 am Invited Talk 1 - Revisiting Smale’s 18th Problem in the Age of Artificial Intelligence

  - Yuan Yao, Hong Kong University of Science and Technology

09:45 am - 10:15 am Invited Talk 2 - Physics-informed Kernels for PDEs: from Solvers to Solution-operators 

  - Jianyu Hu, Nanyang Technological University

10:15 am - 10:30 am Contributed Talk 1 - Poincaré Gradient Descent

10:30 am - 11:00 am Coffee Break

11:00 am - 11:30 am Invited Talk 3 - Mathematical AI: from topological data analysis to topological deep learning 

  - Kelin Xia, Nanyang Technological University

11:30 am - 12:00 pm Invited Talk 4 - Understanding Weight Space Symmetries in Contemporary Deep Learning Architectures 

  - Tan Minh Nguyen, National University of Singapore

12:00 pm - 12:15 pm Contributed Talk 2 - The Expressivity Limits of Transformers

12:15 pm - 12:30 pm Contributed Talk 3 - Adaptive Stepsizing for Stochastic Gradient Langevin Dynamics in Bayesian Neural Networks

12:30 pm - 14:00 pm Lunch

14:00 am - 14:30 pm Invited Talk 5 - Minimax Rate of Distribution Regression 

  - Rong Tang, Hong Kong University of Science and Technology

14:30 pm - 14:45 pm Contributed Talk 4 -  How to realize efficient Spiking Neural Networks?

14:45 pm - 15:30 pm Poster Session

15:30 pm - 16:00 pm Coffee Break

16:00 pm - 17:00 pm Panel discussion + Questions / Discussions 

  - Simon See, Juan-Pablo Ortega,  Yuan Yao, Benedict Leimkuhler