Prof. Dr. Gitta Kutyniok is coordinator of the new DFG (German Research Foundation) priority program „Theoretical Foundations of Deep Learning“.
Artificial neural networks are currently the driving force in the field of Artificial Intelligence (AI). Methods based on such deep neural networks show impressive success in real applications ranging from autonomous driving to game intelligence and the health sector. At the same time, such methods have a similarly strong influence on science and often supplement or even replace classic model-based methods for solving mathematical problems such as inverse problems or partial differential equations. Despite these outstanding successes, the majority of research on neural networks is empirically driven. A theoretical basis is largely missing. Moreover, there are proven cases where these techniques fail completely at small perturbations, so improvements are needed that are backed up by a theoretical understanding.
“The main goal of this priority program is therefore the development of a comprehensive theoretical basis for artificial neural networks.”
says Prof. Dr. Kutyniok.
The DFG is providing approximately 8.5 million euros for the first three years of the Priority Program.