Speaker : Gitta Kutyniok, Professor of Mathematics, Ludwig Maximilian University of Munichy
Date : 2024-09-04
Time: 11:00 - 12:30
Location : Payatakes Seminar Room - FORTH, Main Building, 1st floor
Host : Jean-Luc Starck and Panagiotis Tsakalides
Abstract:
Artificial intelligence is currently leading to one breakthrough after the other, in industry, public life, and the sciences. However, one current major drawback is the lack of reliability of such methodologies. In this talk we will take a mathematical viewpoint towards this problem, showing the power of such approaches to reliability. We will first provide an introduction into this vibrant research area, and also discuss the impact of the EU AI Act and the G7 Hiroshima Process. We will then survey recent advances, for instance, concerning explainability. This is followed by a discussion of fundamental limitations, which affect reliability of artificial intelligence, and show solutions to this serious obstacle in terms of an intriguing connection to next generation AI computing.
Bio:
Gitta Kutyniok currently has a Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at the Ludwig-Maximilians-Universität Munchen, and is in addition affiliated with the DLR-German Aerospace Center and the University of Tromso. She received her Diploma in Mathematics and Computer Science as well as her Ph.D. degree from the Universitat Paderborn in Germany, and her Habilitation in Mathematics in 2006 at the Justus-Liebig Universitat Gieben. From 2001 to 2008 she held visiting positions at several US institutions, including Princeton University, Stanford University, Yale University, Georgia Institute of Technology, and Washington University in St. Louis. In 2008, she became a full professor of mathematics at the Universitat Osnabruck, and moved to Berlin three years later, where she held an Einstein Chair in the Institute of Mathematics at the Technische Universität Berlin and a courtesy appointment in the Department of Computer Science and Engineering until 2020. In 2023, together with colleagues she founded the start-up EcoLogic Computing GmbH.
Gitta Kutyniok has received various awards for her research such as an award from the Universitat Paderborn in 2003, the Research Prize of the Justus-Liebig Universitat Giessen, and a Heisenberg Fellowship in 2006, and the von Kaven Prize by the DFG in 2007. She was invited as the Noether Lecturer at the OMG-DMV Congress in 2013, a plenary lecturer at the 8th European Congress of Mathematics (8ECM) in 2021, and the lecturer of the London Mathematical Society (LMS) Invited Lecture Series in 2022. She was also honored by invited lectures at both the International Congress of Mathematicians 2022 (ICM 2022) and the International Congress on Industrial and Applied Mathematics (ICIAM 2023). Moreover, she 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. She currently acts as LMU-Director of the Konrad Zuse School of Excellence in Reliable AI (relAI) in Munich, serves as Vice President-at-Large of SIAM, and is spokesperson of the DFG-Priority Program "Theoretical Foundations of Deep Learning" and of the AI-HUB@LMU, which is the interdisciplinary platform for research and teaching in AI and data science at LMU.
Gitta Kutyniok's research work covers, in particular, the areas of applied and computational harmonic analysis, artificial intelligence, compressed sensing, deep learning, imaging sciences, inverse problems, and applications to life sciences, robotics, and telecommunications.