Artificial Intelligence and Machine Learning
Definition
![](http://www.faps.fau.de/wp-content/uploads/2017/05/TF_I4_0-300x200.jpg)
Vision
The technology field supports industry in identifying and exploiting the various potentials of AI, especially machine learning. Furthermore, it serves the knowledge transfer within the institute.
Focus areas
- Smart sensors and signal processing
- Communication standards (e.g., OPC UA, MQTT)
- Data management and database systems (e.g., SQL, NoSQL)
- Edge/cloud architectures and IIoT platforms
- Data preparation and explorative data analysis
- Machine learning, deep learning (e.g., Convolutional Neural Networks) and reinforcement learning
- Generative AI (e.g., large language models such as ChatGPT, GANs)
- Semantic technologies (e.g., Knowledge Graphs, Semantic Web)
Application Fields
- Data-driven optimization in the Industrie 4.0 environment (e.g., predictive maintenance, predictive quality, machine vision)
- Knowledge-based assistance systems in engineering (e.g., constraint-based configurators)
- AI systems in smart home and medical technology applications (e.g., object recognition and environment segmentation)
Head of Technology Field
Members
- Albert Scheck, M. Sc.
- Alexander Müller, M.Sc.
- Alexander Schneider, M.Sc.
- Andreas Morello, M. Sc.
- Anja Preitschaft, M.Sc.
- Ben Rachinger, M.Sc.
- Benedikt Scheffler, M.Sc.
- Benjamin Gutwald, M. Sc.
- Bernd Hofmann, M.Sc.
- Christoph Konrad, M.Sc.
- Daniela Pisanu, M.Sc.
- Elisabeth Schmidl, M.Eng.
- Felix Mahr, M. Sc.
- Helmut Engelhardt, M.Sc.
- Huong Giang Nguyen, M. Sc.
- Jochen Bauer, M. Comp. Sc.
- Johanna Vogt, M.Eng.
- Johannes von Lindenfels, M. Sc.
- Jonathan Fuchs, M. Sc.
- Lucas Janisch, M. Sc.
- Marcel Baader, M. Sc.
- Martin Sjarov, M. Sc.
- Oguz Kedilioglu, M.Sc.
- Dr. Reinhardt Seidel, M. Sc.
- Simon Fröhlig, M.Sc.
- Sven Meier, M.Sc., M. Sc.
- Till Sindel, M. Sc.
- Tim Raffin, M.Sc.
- Tobias Reichenstein, M. Sc.