Despite the recent huge popularity and success of AI models, a mathematical understanding of their key aspects is only just emerging. In this year’s spring school, we bring some of the leading experts on mathematical aspects of AI to Darmstadt. Our mini courses will be held by

Marco Mondelli (Institute of Science and Technology Austria)
(Title: Trustworthy machine learning through the lens of high-dimensional probability) 
and
Andrea Montanari (Stanford)
(Title: Dynamical regimes in gradient based learning)

The main focus of the school will be on probabilistic aspects of the mathematics of AI. The school aims at PhD students and young post-docs, either already working in the field of  "AI and mathematics" or working in probability and desiring to learn about relevant topics and techniques in the area.