The new wave of artificial intelligence is impacting industry, public life, and the sciences in an unprecedented manner. However, one current major drawback is the lack of reliability as well as the enormous energy problem.
The goal of this lecture is to first provide an introduction into this new vibrant research area. We will then present a mathematical perspective on the reliability and energy problem and discuss novel research results in this realm, which reveal possibilities to overcome these current limitations. This will lead us naturally to spiking neural networks and novel computing hardware such as neuromorphic hardware for future AI computing.
Keynote Speaker Prof. Dr. Gitta Kutyniok Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich Adjunct Professor for Machine Learning, University of Tromsø Consultant, Institute for Robotics and Mechatronics, DLR-German Aerospace Center LMU-Director, Konrad Zuse School of Excellence in Reliable AI.
