Professor Peter Bell is a pioneer in the fields of art history and machine vision. His research will help improve our understanding of cultural heritage, and reflects contemporary discussions about AI bias.
Munich Quantum Valley is working to develop competitive quantum computing in Bavaria. It enables researchers to share expertise across disciplines, provides educational opportunities for young scientists, and partners with industry to translate research into practice.
Neuroscientists at FAU Erlangen-Nürnberg are working to decipher the mechanisms behind nerve cell growth. Could their interdisciplinary research yield new treatment options for degenerative and psychiatric disorders?
Wolfgang Kießling traces Earth’s history through layers of fossils. The data he uncovers together with his team serves to create a reliable database for climate research, opening up opportunities for nature-based conservation solutions.
Metrology, computing, communications: quantum research in Erlangen has a broad base. The team of researchers at FAU and the nearby Max Planck Institutes is also at the forefront of international advances in quantum imaging, quantum computing, and encryption.
Researchers at FAU are working across disciplines and with industry partners to develop cutting-edge AI applications that could revolutionize medicine and healthcare.
Postdoc Chandra Macauley researches fuel cell structures at Friedrich-Alexander Universität Erlangen-Nürnberg—one of the top locations for materials science in Germany.
Increasing influence of anti-pluralist parties is often associated with lower academic freedom in the respective country. This is one of the findings of the latest Academic Freedom Index (AFI) which is being released March 13, 2025. Scholars at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) publish the index every year in collaboration with colleagues at the V-Dem Institute at the University of Gothenburg. It covers 179 countries across the world.
Emperor penguins are an endangered species. Scientists are protecting the largest of all penguins by monitoring their numbers precisely and investigating which factors affect their population. A team led by researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has now developed a reliable method that can predict the number of breeding pairs and chicks and serve as an early warning system for climate change in the Antarctic Ocean. The research team has published its findings in the journal “Nature Communications”.
FAU chemists conduct research into novel approach of using an organic module for storing solar energy
