15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
MCML Research Insight - With Dominik Schnaus, Nikita Araslanov, and Daniel Cremers
Vision-language models have shown that images and text can live in a shared space: a picture of a “cat” often lands close to the word “cat” in the embedding space. But such models learn this correspondence because they have seen millions of image–caption pairs. What if we had …
12.01.2026
Call for Speakers Certificate Course „Responsible AI“
We Are Seeking Speakers for the First Certificate Course on Responsible AI
The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, as well as experienced AI enthusiasts and users.
08.01.2026
High-Res Images, Less Wait: A Simple Flow for Image Generation
MCML Research Insight - With Johannes Schusterbauer, Pingchuan Ma, Vincent Tao Hu, and Björn Ommer
Image generation models today can create almost anything, like a futuristic city glowing at sunset, a classical painting of your cat, or a realistic spaceship made of glass. But when you ask them to go bigger and sharper, the magic slows down. The process takes longer, eats up more memory, and …
25.12.2025
Digdeep Podcast: Armin Nassehi, How Does Social Transformation Succeed?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep, the sociologist Armin Nassehi declares, how social transformation succeeds. He discusses, why social changes are often not implemented despite clear goals and great urgency and explains this with a collective transformation fatigue, which is not an individual failure, but is rooted in the structures of modern societies. A …
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 organizations to develop hands-on, AI-based teaching kits …
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 “working well under pressure” with no real …
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 enables more individualized predictions and …
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 …
11.12.2025
Digdeep Podcast: Will AI Be the New Colleague, Prof. Sabine Pfeiffer?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Sabine Pfeiffer from FAU Erlangen-Nuremberg talks about AI as a new colleague. An MIT study shows that artificial intelligence is widespread in everyday life, but lags behind expectations in business. Optimistic narratives about AI are of little help when it comes to actually using the technology productively. …
11.12.2025
From Sitting Dog to Standing: A New Way to Morph 3D Shapes
MCML Research Insight - With Lu Sang and Daniel Cremers
Ever wondered how a 3D shape can smoothly change — like a robot arm bending or a dog rising from sitting to standing — without complex simulations or hand-crafted data? Researchers from MCML and the University of Bonn tackled this challenge in their ICLR 2025 paper, “Implicit Neural Surface Deformation with Explicit Velocity Fields”.
