News

28.01.2026

Fabian Theis Featured in FOCUS Online at DLD 2026

How AI Can Support Doctors and Improve Access to Healthcare

MCML PI Fabian Theis was featured in an interview with FOCUS online at DLD Munich 2026, discussing how artificial intelligence can transform medicine. Fabian highlighted how AI can help make diagnosis …

27.01.2026

Joint Retreat of MCML and TUEAI Center on the Latest Advances in Computer Vision

Short Recap

In January 2026, two research groups of the MCML and Tübingen AI Center met for a four-day retreat in Gaschurn/ Austria. About 60 researchers joined for talks and poster sessions. The joint retreat …

27.01.2026

Daniel Rückert Speaks at DLD Munich 2026

AI and the Future of Medicine: From Sci-Fi to Your Doctor's Office

Our Director Daniel Rückert spoke at the DLD Conference 2026 as part of the BIOSPHERE Health Track. In his talk, Daniel explored how AI is moving from science fiction into real clinical practice and …

27.01.2026

Fabian Theis Speaks at DLD Munich 2026

From Models to Medicines: AI-Guided Experimental Biology

We are pleased to share that our PI Fabian Theis contributed to DLD Conference 2026 as part of the BIOSPHERE Health Track. Fabian gave a talk titled “From Models to Medicines: AI-guided Experimental …

27.01.2026

Björn Ommer Speaks at DLD Munich 2026

It’s Gonna Be Wild: When AI Moves Faster Than Society

Our PI Björn Ommer was a featured speaker at DLD Munich 2026 in the session “It’s Gonna Be Wild: When AI Moves Faster Than Society”, together with LMU VP Armin Nassehi. The discussion reflects on the …

22.01.2026

Industry Pitch Talks Recap

With the DeepL Community

On January 20th, we visited DeepL at their Munich office for an edition of our “MCML Pitchtalks with Industry.” DeepL presented their current state-of-the-art work in NLP, and our junior members—Siyao …

22.01.2026

From Global to Regional Explanations: Understanding Models More Locally

MCML Research Insight - With Giuseppe Casalicchio, Thomas Nagler and Bernd Bischl

Machine learning models can be powerful, but understanding why they behave the way they do is often much harder. Early global interpretability tools were designed to show how each feature affects the …

22.01.2026

Research Stay at University of St. Gallen

Andrea Maldonado – Funded by the MCML AI X-Change Program

Between Freudenberg – “happiness mountain” – and Rosenberg – “roses mountain”, I had the pleasure to visit the Institute of Computer Science (ICS-HSG) at the University of St. Gallen (HSG) in …

20.01.2026

MCML PI Matthias Nießner Featured in WirtschaftsWoche on Spaitial AI

German Startup Develops AI for Instant 3D Room Creation

MCML PI Matthias Nießner was featured in WirtschaftsWoche for his startup Spaitial AI, which develops AI capable of creating realistic 3D models of real-world rooms and interiors within seconds. The …

20.01.2026

MCML Supporting Girls in STEM

Encouraging Girls to Explore Science, Technology, and University Life

At the first GirlsLAB at TUM, female students from Bavarian partner schools explored STEM subjects through hands-on teamwork and creative problem-solving. While the students built chain-reaction …

19.01.2026

MCML at AAAI 2026

Eleven Accepted Papers (8 Main, and 3 Workshops)

We are happy to announce that MCML researchers have contributed a total of 11 papers to AAAI 2026: 8 Main, and 3 Workshop papers. Congrats to our researchers!

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

Exploring Opportunities and Risks of Artificial Intelligence

MCML PI Frauke Kreuter was featured on ARD alpha, discussing how AI is shaping everyday life and the workplace. Alongside moderator Birgit Kappel and Sabine Pfeiffer, head of the Chair of Sociology at …

15.01.2026

Digdeep Podcast: Live From the CES in Las Vegas

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

In this episode of #digdeep, Christof Horn reports live from the CES, the world’s largest consumer electronics trade show in Las Vegas and now also one of the leading trade shows for the global …

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 …

12.01.2026

MCML PI Alexander Fraser Featured on Breaking Data Podcast

Discussing AI, Language Diversity, and Low-Resource Languages

MCML PI Alexander Fraser was featured as a guest on an episode of the Breaking Data podcast, where he discussed the importance of integrating low-resource and minority languages into AI models. In …

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

Innovations in Science and Technology

MCML PIs Xiaoxiang Zhu and Felix Dietrich were featured in Süddeutsche Zeitung’s coverage of TU Munich’s major scientific breakthroughs in 2025. Their work contributes to current advances in …

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, …

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 …