Mathematical Foundations of AI: The Erlangen Hub Conference 2026
Our annual public conference will bring together leading researchers, innovators, and thinkers at the forefront of artificial intelligence.
As AI advances rapidly, our understanding struggles to keep pace. Mathematics—both pure and applied—plays a critical role in closing this gap, with even abstract ideas shaping modern AI.
This conference convenes researchers and industry leaders to foster open, collaborative discussions on making AI more understandable, reliable, and impactful.
The programme includes:
- Plenary talks from leading researchers
- Short talks and industry perspectives
- Poster sessions and lightning talks
- A panel discussion on future directions
Participants are invited to submit a poster showcasing a research project or collaboration (A0 size). You may also opt to present a 2-minute lightning talk prior to lunch break. Indicate your interest when registering.
Ticket prices
Early Bird:
- Conference: £90
- Conference + Dinner on 1st September: £160
Full Price:
-
- Conference: £120
- Conference + Dinner on 1st September: £190
Early bird rates are available until 29 May.
Tickets include refreshments and lunch across all three days. The optional conference dinner will be held at an Oxford College, Lady Margaret Hall, on the first evening. Reduced pricing has been made possible through the generous support of the Mathematical Institute.
Plenary speakers (further speakers will be added as they are confirmed)
- Michael Bronstein, DeepMind Professor of Artificial Intelligence/Co-director of the Erlangen AI Hub, University of Oxford
- Erik Bekkers, Associate Professor, University of Amsterdam (AMLab, UvA)
- Kathryn Hess, Professor of Mathematics and Life Sciences, EPFL
- Kevin Buzzard, Professor of Mathematics, Imperial College London
- Stefanie Jegelka, Visiting Professor at MIT EECS, and a Humboldt Professor at TU Munich
- Suvrit Sra, Career Development Associate Professor of EECS and Professor for Resource Aware Machine Learning at TU Munich
- Rebekka Burkholz, Faculty in Machine Learning, CISPA Helmholtz Center for Information Security
- Roland Kwitt, Full Professor of Machine Learning at University of Salzburg