Speaker

Gitta Kutyniok

Title

Reliable and Sustainable AI: From Mathematical Foundations to the Future of AI Computing

Abstract

Artificial intelligence is currently leading to one breakthrough after the other, in industry, public life, and the sciences. However, major drawbacks are the lack of reliability of such methodologies in particular for critical infrastructure as well as the enormous energy consumption of current AI computing. In this talk we will first provide an introduction into this vibrant research area. Taking a mathematical viewpoint will then lead us to a profound understanding of the problems of reliability and sustainability, and we will survey some recent advances. Finally, we will reveal an intriguing connection of both problems to analog AI computing and spiking neural networks, showing the necessity to rethink current digital computing platforms.

Bio

Gitta Kutyniok currently has a Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at the Ludwig-Maximilians-Universität München. Before, she held visiting positions at Princeton University, Stanford University, and Yale University, was a full professor at the Universität Osnabrück, and held an Einstein Chair at the Technische Universität Berlin. She received various awards for her research such as the von Kaven Prize (DFG) in 2007, was elected as a member of the Berlin-Brandenburg Academy of Sciences and Humanities in 2017 and of the European Academy of Sciences in 2022, and became a SIAM Fellow in 2019 and an IEEE Fellow in 2024. Her leadership positions include serving as LMU-Director of the Konrad Zuse School of Excellence in Reliable AI and as spokesperson of the AI-HUB
LMU. Her research work covers, in particular, applied harmonic analysis, artificial intelligence, compressed sensing, imaging sciences, and applications to life sciences, robotics, and telecommunication.

Language

English