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Link to MCML at ECCV 2026

07.09.2026

MCML at ECCV 2026

28 Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 28 papers to ECCV 2026. Congrats to our researchers!

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Link to MCML at ECML-PKDD 2026

04.09.2026

MCML at ECML-PKDD 2026

Six Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 6 papers to ECML-PKDD 2026. Congrats to our researchers!

Link to Julia Schnabel: What if a Broken Rib Could Save Your Life?

03.09.2026

Julia Schnabel: What if a Broken Rib Could Save Your Life?

Research Film

What if a routine X-ray could detect cancer before any symptoms appear?

Link to Barbara Plank Featured in Tagesschau on AI and Bavarian Dialects

02.09.2026

Teaching AI to Understand Regional Languages

MCML PI Barbara Plank is featured in a recent Tagesschau report on the challenges artificial intelligence faces when processing Bavarian dialects. The report highlights a research project collecting …

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Link to MCML at ICDAR 2026

28.08.2026

MCML at ICDAR 2026

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to ICDAR 2026. Congrats to our researchers!

Link to Digdeep Podcast: Well-Intentioned but Dangerous – Will AI Regulation Become a Tool for Censorship?

27.08.2026

Digdeep Podcast: Well-Intentioned but Dangerous – Will AI Regulation Become a Tool for Censorship?

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

In this episode of #digdeep, MCML Junior Member Sarah Ball talks together with Phil Hackemann about AI regulation. Most people want AI to be safe, but the same mechanisms designed to protect AI from …

Link to Transparency for Global Health Aid

26.08.2026

Transparency for Global Health Aid

Using AI to Reveal Funding Disparities

To what extent does the allocation of aid for combating disease correspond to disease burden? LMU researchers have developed a machine learning pipeline that helps uncover relative discrepancies in …

Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

Research Film

What if your AI model could tell you not just what will happen, but how sure it is?

Link to Using Data Science to Personalize Depression Care

24.08.2026

Using Data Science to Personalize Depression Care

Data Science for Social Good 2026

How can data science contribute to better healthcare? This summer, five young researchers are exploring exactly that question as part of DSSGx Munich 2026, supported by the MCML.

Link to Matthias Nießner Featured in Augsburger Allgemeine on Europe's AI Hub

17.08.2026

Exploring London's Growing AI Ecosystem

MCML PI Matthias Nießner is featured in a recent Augsburger Allgemeine article exploring how London has developed into one of Europe’s leading AI hubs. The article looks at the city’s thriving startup …

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Link to MCML at IJCAI-ECAI 2026

14.08.2026

MCML at IJCAI-ECAI 2026

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to IJCAI-ECAI 2026. Congrats to our researchers!

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Link to MCML at UAI 2026

14.08.2026

MCML at UAI 2026

Nine Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 9 papers to UAI 2026. Congrats to our researchers!

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