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Link to Björn Ommer Featured in WELT

26.09.2025

AI Bias and Why Neutrality Remains a Human Responsibility

MCML Principal Investigator Björn Ommer was featured in WELT discussing the challenges of AI neutrality and the risks of over- or under-correcting bias in large models. He highlighted that no system can be fully neutral since training data always reflects real-world imbalances, and emphasized the …

Link to Making Machine Learning More Accessible with AutoML

26.09.2025

Making Machine Learning More Accessible with AutoML

Researcher in Focus: Matthias Feurer

Matthias Feurer is a Thomas Bayes Fellow and interim professor, funded by the MCML and a member of the Chair of Statistical Learning and Data Science at LMU. He aims to simplify the usage of machine learning by researching methods and developing tools that allow the usage of machine learning by …

Link to Björn Schuller Featured in Macwelt Article

25.09.2025

Björn Schuller Featured in Macwelt Article

The Role of Apple Watch in Personal Health and Wellness

MCML Principal Investigator Björn Schuller is mentioned in a recent Macwelt article discussing how the Apple Watch contributes to health monitoring and the future of healthcare. He highlights the potential of smartwatches to detect subtle behavioral and physiological changes, to use audio and sensor …

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