Research

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.

They form a protective sheath around nerve fibres and ensure that nerve impulses are transmitted rapidly: Schwann cells. Dr. Franziska Fröb and Prof. Dr. Michael Wegner, Chair of Biochemistry and Pathobiochemistry have been researching these cells for years now.

Cardiac diseases such as heart failure affect the ability of the cardiac muscle to pump blood. The scientists Prof. Dr. Oliver Friedrich, FAU, and Prof. Dr. Boris Martinac, Victor Chang Cardiac Research Institute, Sydney, are now collaborating to research how cells react to this stretching process. The project has been granted funding of approximately 230,000 euros.

The international project PRECODE (Pancreatic Cancer Organoids research) coordinated by Universitätsklinikum Erlangen focuses on establishing new models for treating pancreatic cancer in clinical settings. The project has received four million euros in funding from the EU.

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 1969, Neil Armstrong and Buzz Aldrin landed on the moon. They were the first men to set foot on the moon, 384,400 kilometres away from Earth. The joint exhibition between the Museum of Communication, Nuremberg, and FAU 'Spaceship Living Room. The moon landing as a media event’ runs until 22 September, and is well worth a visit.

The periodic table turns 150 this year. We took this as an opportunity to ask our scientists about their favorite element. Today: Dr. Angela Fösel on sulphur.

Deep learning involves machines learning using neural networks. However, they have to learn from scratch each time they are used in a different area. Researchers at FAU have now found a way of accelerating these learning processes by implementing prior knowledge in the networks without the need for time-consuming learning processes.

We still do not know exactly what causes chronic inflammatory joint diseases such as rheumatoid arthritis. A team at Universitätsklinikum Erlangen and FAU led by Prof. Gerhard Krönke has now chosen a new approach to gain a better understanding of the underlying mechanisms.