18.12.2025
MCML Thinkathon
A Short Recap
MCML has launched the Thinkathon, a new initiative designed to connect AI research with the practical needs of the Bavarian education system. In a hackathon-style setting, MCML Junior Members collaborated with mentors and stakeholders from the Bavarian Ministry of Education and other partner …
18.12.2025
“See, Don’t Assume”: Revealing and Reducing Gender Bias in AI
MCML Research Insight - With Leander Girrbach, Yiran Huang, Stephan Alaniz and Zeynep Akata
Using AI and LLMs at work feels almost unavoidable today: they make things easier, but they can also go wrong in important ways. One of the trickiest problems? Gender bias. For example, if you ask about someone’s skills from a photo, it may confidently label them a “born leader” or …
16.12.2025
Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine
Artificial Intelligence and Biomedical Research
Our PI Fabian Theis was recently featured in an interview exploring how artificial intelligence is reshaping modern healthcare. As a leading researcher in AI-driven biomedical data analysis, he explains why precision medicine is still widely underestimated, despite major scientific advances. AI now …
16.12.2025
Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics
Defining Measurable Criteria for Responsible AI Agents
Our PI Gitta Kutyniok was featured in VDI Nachrichten discussing ethical and safety challenges for autonomous AI agents. She emphasizes the need for measurable criteria to guide AI decision-making, ensuring responsible and transparent behavior. Kutyniok’s insights highlight how rigorous mathematical frameworks can support trustworthy AI in …
16.12.2025
Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches
Advancing Language Models With Memory-Efficient and Context-Aware AI
Our PI Hinrich Schütze commented on the Swiss start-up Giotto.ai’s breakthrough in language models, featured in WirtschaftsWoche. Giotto.ai challenges the prevailing trend of ever-larger AI models by developing a highly efficient 200-million-parameter system that leverages external memory and context-aware decoding to reduce errors and …
16.12.2025
Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas
AI-Driven 3D Mapping Reveals Urbanization, Infrastructure, and Social Insights
Our PI Xiaoxiang Zhu and her team have created a Global Building Atlas, mapping 2.75 billion buildings in 3D. Using satellite data and AI, the atlas captures building footprints, geometry, and height, providing insights into urbanization, housing, and infrastructure. The project introduces building volume per capita as a new indicator for living …