Tag: AI

Bavarian Hydrogen Centre to be founded in Nuremberg

What are current challenges in AI research? For Prof. Dr. Martin Matzner, Chair of Digital Industrial Service Systems, the challenge is to create algorithms that perform well on practical data and not only in the laboratory.

Artificial intelligence can be applied to various research fields, i.e. music as Prof. Dr. Meinard Müller, Audio Labs Erlangen and Professorship for Semantic Audio Signal Processing, shows.

With the Share at FAU Schaeffler and the FAU have signed a cooperation agreement with the aim to jointly work on research topics in the field of digitalisation and manufacturing processes and to test their industrial application at an early stage.

AI systems are already often better at solving pattern recognition problems than humans. This opens up big opportunities for automation in technology. Still, there are some challenges to overcome. Prof. Dr. Veniamin Morgenshtern, Chair of Multimedia Communications and Signal Processing at FAU, explains which related research questions he works on.

In what domains is AI most promising – and useful? That is what we asked Tobias Zobel, manager at d.hip – the Digital Health Innovation Platform.

Prof. Dr. Björn Eskofier, Chair for Machine Learning and Data Analytics about AI in medicine and what is necessary to push this field further: a strong artificial intelligence and medicine center.

Since 1975, AI has shaped research and teaching at FAU

A great success for FAU: the German Research Foundation has approved three new research training groups at the University.

How can digitalisation help to improve the efficiency of the electricity grid, whilst making it more stable at the same time? These are the questions being considered by ‘InnoSys 2030’, a joint project involving FAU funded with approximately 10 million euros by the Federal Ministry for Economic Affairs and Energy.