Reliable and Sustainable AI for Scientific Discovery — G. Kutyniok, LMU Munich | HAICON26

Speaker: G. Kutyniok Affiliation: Ludwig Maximilian University of Munich (LMU), Germany Date: June 10, 2026 Time: 10:10–10:30am (Invited Talk) Session: Session 2a – Robust & Multi-modal Learning Recorded at the Helmholtz AI Conference (HAICON26), June 9–11, 2026. More info: https://haicon.cc/conference-program/ About this talk: Reliable and Sustainable AI for Scientific Discovery G. Kutyniok 1 1 Ludwig Maximilian University of Munich (LMU), Germany This invited talk discusses the mathematical foundations of reliable AI — covering generalization, robustness, and explainability — and sustainable AI. It highlights neuromorphic computing and spiking neural networks as directions toward energy-efficient AI for high-stakes scientific settings.