AI Foundations play a crucial role in underpinning the broader AI initiatives across the university. This cluster is dedicated to the exploration and advancement of the core theoretical and mathematical aspects of artificial intelligence. The research conducted here is not only academic in nature but also serves as the backbone for practical AI applications in various domains.
Machine Learning / Pattern Recognition
Chair of Multimedia Communications and Signal Processing
Chair of Digital Communications
Cognitive Computer Vision
Chair of Machine Learning and Data Analytics
Chair of Physics and Erlangen Centre for Astroparticle Physics (ECAP)
Chair of Technical Information Systems
Image Data Exploration an Analysis
Artificial Intelligence in Communication Disorders
Chair of Pattern Recognition
Chair of Programming Systems
Institute of Theoretical Physics I
Institute for Digital Communications
Chair of Computer Science 9 (Computer Graphics)
Chair of Microwave Technology
Cooperations:
Logics / Knowledge Representation
Chair of Knowledge Representation/Processing
Chair of Computer Science 8 (Theoretical Computer Science)
Mathematical Foundations
Optimization under Uncertainty & Data Analysis
Chair of Dynamics, Control, Machine Learning and Numerics
