04.03.2024
Our PI Stephan Günnemann on how AI can be made more efficient and sustainable
"Forschung aktuell"- Broadcast
Our PI Stephan Günnemann was a guest on the science broadcast "Forschung aktuell" by Deutschlandfunk.
In the feature, he explains pruning and spartification, two techniques that can significantly reduce the computational power required for language models. This makes AI algorithms more effective and, above all, more economical.
04.03.2024
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AI and Weather Predictions
Kevin Höhlein, PhD student at TUM, applies data science and machine learning to analyze meteorological data.
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Enhancing the integrity of social media with AI
MCML Member Dominik Bär works within the research group of Stefan Feuerriegel at the Institute of Artificial Intelligence in Management at LMU.
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26.11.2024
Artificial Intelligence as a radio host: MCML PI Sven Nyholm's comment
Our PI Sven Nyholm discusses ethical concerns surrounding an AI project, highlighting issues of consent and transparency.
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Fabian Theis and Xiaoxiang Zhu among the world’s most cited researchers
In a new article published by TUM, two of our PIs are recognized as being among the most cited worldwide.
25.11.2024
Meet three MCML Junior Members
In the new article by Research in Bavaria, the MCML is highlighted as a crucial part of Bavaria’s AI and machine learning research.