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AI News from Rhineland-Palatinate
- This list does not claim to be complete, because everybody is free to publish news here.
AI News
- 05.10.2025
Interview with Steffen Reithermann (Chair of Machine Learning / AI Project Office) on the Kaiserslautern / Westpfalz AI Competence Cluster for an article in a special supplement of the Rheinpfalz newspaper dated September 26, 2025
Contact Person: Prof. Dr. Marius Kloft 09.08.2025
Interview with Prof. Dr. Marius Kloft on his field of research anomaly detection for an online article in the research magazine of RPTU Kaiserslautern-Landau
Contact Person: Prof. Dr. Marius Kloft26.06.2025
Machine Learning Group teaches AI topics to students and teachers at the Montessori School in Landau
Contact Person: Prof. Dr. Marius Kloft30.01.2025
Steffen Reithermann from the Chair of Machine Learning on the features, potential and risks of the Chinese AI model DeepSeek in a radio interview on SWR Aktuell
Contact Person: Prof. Dr. Marius Kloft30.01.2025
Prof. Dr. Marius Kloft coordinates new BMBF third-party funded project PIAD - Physics-informed Anomaly Detection with total funding of around € 2 million
Contact Person: Prof. Dr. Marius Kloft20.11.2024
Research initiative “Machine Learning Kaiserslautern-Landau” (MLKL) of the RPTU Kaiserslautern-Landau
Contact Person: Prof. Dr. Marius Kloft05.10.2024
Consulting support for the AI rollout in companies and organizations
Contact Person: Prof. Dr. Marius Kloft- 23.09.2024
Ministerpräsident Alexander Schweitzer benennt Prof. Dr. Stefan Kramer als weiteren KI-Lotsen der KI-Allianz Rheinland-Pfalz
Contact Person: Prof. Dr. Stefan Kramer 31.10.2023
Opinions from research, business and society on the topic of AI: a snapshot in Rhineland-Palatinate
Contact Person: Prof. Dr. Marius Kloft16.08.2023
KI lecture series in city libraries of the region for the interested public
Contact Person: Prof. Dr. Marius Kloft- 02.03.2023
Online article on the topic of ChatGPT in teaching and learning
Contact Person: Jun.-Prof. Dr. Sophie Fellenz 09.02.2023
Prof. Marius Kloft and colleagues receive the ANDEA Test-of-Time Award for the most influential paper in anomaly detection in the last ten years
Contact Person: Prof. Dr. Marius Kloft29.09.2022
Deep Learning Despite Sparse Data: DFG Research Group takes a look at chemical process data evaluation
Contact Person: Prof. Dr. Marius Kloft