Felix Voigtlaender is the first holder of the new Chair for Reliable Machine Learning at the Catholic University of Eichstätt-Ingolstadt (KU). This chair is the result of a successful application by the KU in a competition by the Free State of Bavaria for new professorships in the field of artificial intelligence. Colleges and universities from all over Bavaria submitted a total of 175 applications in the competition for 50 professorships to be awarded. Voigtlaender is a member of the new Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU and teaches in the bachelor’s program “Data Science”, which is starting in the winter semester.
Professor Voigtlaender studied mathematics and computer science at the RWTH in his hometown of Aachen, where he also obtained his doctorate. Before his appointment to the KU, Voigtlaender did research at the Technical University of Munich. He is now continuing the project he started there on the topic of “Stability and Solvability in Deep Learning” at the KU. His work focuses on the mathematical foundations of machine learning, especially with regard to understanding and transparency of so-called deep learning. “An artificial neural network is trained using sample data so that it solves the desired task well – for example with regard to automatic speech or image recognition,” explains Voigtlaender. In addition, he fundamentally researches which functions can be mapped well and which poorly by neural networks and how much sample data is sufficient or necessary to successfully train neural networks. In general, Voigtlaender is fascinated by the fact that mathematics can be used to “find absolute truths” that are internationally identical and universally valid.
Information on MIDS can be found on the Internet at www.ku.de/mids, and prospective students can find details on the new Bachelor’s degree in “Data Science” on the Internet at www.ku.de/ds.
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