Date: Thu. January 11, 2024
Event: FAU MoD Lecture
Organized by: FAU MoD, the FAU Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics
Speaker: Prof. Dr. Amaury Hayat
Affiliation: École des Ponts ParisTech, France
Abstract. Artificial Intelligence (AI) has demonstrated remarkable achievements across various domains, from natural language processing to mastering complex games like chess. This naturally raises the question: can AI assist mathematicians in solving open problems in mathematics? This talk aims to address this question. We will explore how AI models can be trained to provide valuable insights into three mathematical questions from different areas of mathematics and applied mathematics. We will then showcase examples of AI models that are specifically trained to prove mathematical theorems by themselves.
BIO. Amaury Hayat earned his doctorate in 2019 under the supervision of Jean-Michel Coron at Sorbonne Université. Since 2023, he has been a full professor at Ecole des Ponts Paristech in France, where he has been a faculty member since 2019. In 2019-2020, he was a research associate at Rutgers University Camden.
Amaury Hayat received the L.E. Rivot Medal from the French Academy of Sciences in 2014, the European Embedded Control Institute PhD award for the year 2019, and the Solemn prize of the Chancellery of the universities of Paris in 2020. In 2021, he was listed among the Forbes 30 under 30 for Europe in sciences and healthcare. His research interests include control theory, partial differential equations, and AI for mathematics.
• Slides
Recording/Video:
This event on LinkedIn
WHEN
Thu. January 11, 2024 at 14:00H (Berlin time)
WHERE
On-site / Online
[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.Room 01.382 – Besprechungsraum Mathematik
Felix Klein building. Department Mathematik. Cauerstraße 11, 91058 Erlangen (Germany)
GPS-Koord. Raum: 49.574043N, 11.030950E [Online] FAU Zoom link
Meeting ID: 624 1094 3213 | PIN code: 694096
*This is a hybrid event (On-site / online), open to the public specially students, researchers, academics and scientific community all around the world.
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