Date: Mon. June 23, 2025
Event: FAU MoD Lecture
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
FAU MoD Lecture: AI for maths and maths for AI
Speaker: Dr. François Charton
Affiliation: Meta | FAIR | École Nationale des Ponts et Chaussées
Abstract. I will present recent results, demonstrating that language models can be trained, from generated data only, to solve hard and open problems in mathematics. The main difficulty, here, is to generate training data. On the other hand, mathematics provides useful benchmarks for understanding how AI models learn.
OUR SPEAKER
François Charton is a research Engineer in Meta, FAIR, and also work in École Nationale des Ponts et Chaussées. He graduated from École Polytechnique and École Nationale de la Statistique et de l’Administration Economique, and joined Meta in 2019, after a career in advertising, media, and as an entrepreneur. His research focuses on applications of deep learning to mathematics and theoretical physics. He is especially interested in how language models can be used to help scientific discovery, and how advanced mathematical problems can be used as benchmarks to help understand deep learning.
AUDIENCE
This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.
WHEN
Mon. June 23, 2025 at 16:00H (Berlin time)
WHERE
On-site / Online
[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.Room . Felix-Klein Building. Department Mathematik.
Cauerstraße 11, 91058 Erlangen [Online] https://www.fau.tv/fau-mod-livestream-2025
You might like:
• FAU MoD Lectures
• Upcoming events
• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne
• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu
• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko
• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär
• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert
• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino
• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer
• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein
• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz
• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger
• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat
• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi
• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli
• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function by Prof. Dr. Alfio Quarteroni
• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus? by Prof. Dr. George Karniadakis
• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda
• FAU MoD Lecture: Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen
• FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic
_
Don’t miss out our last news and connect with us!