
Research on data and governance (www.computer-automation.de)
FAU investigates China's data practices
A research project at FAU Erlangen-Nuremberg is analyzing historical data practices in China over more than 2000 years. The focus is on early administrative and information systems and their significance for today's debates on AI, big data and digital control.

Language research and AI (www.industrial-production.de)
AI discovers language rules without help
An experiment at FAU shows: Neural networks can derive grammatical rules without being explicitly trained to do so. This provides new insights into how language works in both humans and machines.

Language research and AI (www.computer-automation.de)
AI discovers Language Rules without help
An experiment at FAU shows: Neural networks can derive grammatical rules without being explicitly trained to do so. This provides new insights into how language works in both humans and machines.

50 years of pattern recognition at FAU (www.industrial-production.de)
Erlangen chair was a pioneer of AI
50 years ago, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) established the first German Chair of Pattern Recognition. In doing so, it laid the foundation for a discipline that is now one of the central pillars of artificial intelligence.

Chair of Pattern Recognition at the FAU (www.polyformnext.de)
The AI era in Germany began 50 years ago
50 years ago, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) established the first German Chair of Pattern Recognition. In doing so, it laid the foundation for a discipline that is now one of the central pillars of artificial intelligence.

Chemical compounds for high-performance... (www.industrial-production.de)
Automated material development for solar cells
A research team from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), the Helmholtz Institute Erlangen-Nürnberg (HI ERN) and the Karlsruhe Institute of Technology (KIT) has developed a closed workflow that can be used to find optimal high-performance materials for perovskite solar cells (PSC) in a short time.

Research (www.industrial-production.de)
Industrial service robots with a social streak
Social robotics has been researched for around 20 years - where does research stand today? Current projects are also looking at the technical challenges involved in developing social service robots for industrial use.

System development and commissioning (www.industrial-production.de)
Virtual commissioning with the DT
A structural model of the digital twin and end-to-end data management enable faster and more efficient system development and commissioning.

Machine learning (www.industrial-production.de)
Machine learning in production
Machine learning processes open up new possibilities for evaluating data in a useful way, thereby increasing the level of intelligence of machines and systems.

Cloud and edge solutions (www.industrial-production.de)
Facets of the digital transformation
The integration of cloud and edge solutions in cyber-physical production systems opens up new potential in automation. Among other things, research focuses on economic solutions for the challenges of digitalization.

Production technology (www.industrial-production.de)
How research is driving e-mobility forward
The further development of production technology is a major challenge for electromobility. The industry's development work is being actively supported by research, including by the Chair of Factory Automation and Production Systems (FAPS) at the University of Erlangen-Nuremberg.

Self-regulating intralogistics (www.industrial-production.de)
Service-based order allocation
A service-based intrologistics execution system for cross-platform order distribution and execution with the integration of various mobile autonomous transport systems is on the research agenda in the Production Control and Intralogistics technology field of the Chair of Manufacturing Automation and Production Systems.

Digitization (www.industrial-production.de)
Approaching the digital transformation
In the Efficient Systems research area of the Chair of Manufacturing Automation and Production Systems, academic staff and students work together on current research topics with the aim of making the engineering and operation of systems more efficient.