24.03.2026
Cybersecurity: “Even Smart Light Bulbs Harbor Risks”
Interview With Computer Science Expert Johannes Kinder on Digital Security in Everyday Life
The vacuum cleaner robot does the rounds, the heating regulates itself automatically and the lighting responds to an app. Every new device makes private households more convenient – and less secure. …
24.03.2026
MCML Members Win Most Cited Article Award at ECR 2026
Study on Simplifying Radiology Reports Honored by European Radiology
We are proud to share that the article “ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports” has been awarded the Most Cited Article in European Radiology …
19.03.2026
Teaching Models to Say ‘I’m Not Sure’
MCML Research Insight – With Hannah Laus, Felix Krahmer and Holger Rauhut
Machine learning models are good at giving answers, predicting patterns, and classifying objects but they are much worse at saying when they are unsure. But what if the model could admit when it was …
12.03.2026
Digdeep Podcast: Will AI Make Our Lives Better – Or Just More Convenient, Prof. Sven Nyholm?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep MCML PI Sven Nyholm explains the improvements and convenience with AI solutions. Who bears responsibility or credit when decisions or outcomes originate from AI systems? The …
12.03.2026
Frauke Kreuter becomes AAAS Fellow
MCML PI Frauke Kreuter Has Been Elected a Fellow of the American Association for the Advancement of Science (AAAS)
Each year, the association honors researchers whose “contributions to the advancement of science or its applications are scientifically or socially outstanding” with this internationally renowned …
12.03.2026
MCML Members Receive Best Paper Award at GOR 2026
Jan Simson and Christoph Kern Honored for Research on Participatory Approaches in Machine Learning
MCML PI Christoph Kern and MCML Junior Member Jan Simson received the Best Paper Award at the GOR 2026 Conference in Cologne together with Fiona Draxler and Samuel Mehr. The award-winning paper, …
12.03.2026
MCML Members Receive Honourable Mention at CHI 2026
Enkelejda Kasneci and Ka Hei Carrie Lau Recognized for Research on Avatar Bias in AI Hiring.
MCML PI Enkelejda Kasneci and MCML Junior Member Ka Hei Carrie Lau have received an Honourable Mention Award at CHI 2026 for their paper “Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI …
12.03.2026
Alena Buyx Featured in Süddeutsche Zeitung
Outlining Ethical Limits for AI Decision‑making.
MCML PI Alena Buyx was recently featured in Süddeutsche Zeitung discussing the ethical boundaries of artificial intelligence. Buyx explored questions such as whether AI should make life‑and‑death …
12.03.2026
Matthias Niessner Featured in Heise Online
European AI Start-Ups Attract Growing Investor Interest
MCML PI Matthias Niessner was recently featured in an article on heise online about the rapidly growing European AI start-up ecosystem. The article discusses how international investors continue to …
10.03.2026
Reinhard Heckel Featured in FAZ
High-Quality Data Are Key to Effective and Fair AI
MCML PI Reinhard Heckel was recently featured in Frankfurter Allgemeine Zeitung (FAZ) in the article “Wieso es in der Künstlichen Intelligenz jetzt erst recht auf hochwertige Daten ankommt.” The piece …
05.03.2026
Foundations of Diffusion: One Map for Images and Text
MCML Research Insight – With Vincent Pauline, Tobias Höppe, Andrea Dittadi, and Stefan Bauer
From hyper-realistic video generation to protein design, Diffusion Models are the engine behind the current wave of Generative AI. But if you try to understand how diffusion models actually work, you …
05.03.2026
Matthias Althoff Featured in VentureCapital Magazin
Autonomous Robotics for Infrastructure Repair
MCML PI Matthias Althoff was mentioned in VentureCapital Magazin in the context of the Munich robotics startup Sitegeist. Founded in 2025 as a spin-off of the Technical University of Munich, the …
05.03.2026
Sven Nyholm Featured in Big Think
The Relationship Between AI, Effort, and Human Meaning
MCML PI Sven Nyholm was recently featured in Big Think. In the article “The hidden cost of letting AI make your life easier,” Nyholm reflects on how increasing reliance on AI might affect our sense of …
26.02.2026
Digdeep Podcast: Can You Explain AI to Us Over Coffee, Letitia Parcalabescu?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep Letitia Parcalabescu talks about how to explain AI terms in a coffee break. AI systems’ responses depend not only on developers but also on so-called system prompts, which …
24.02.2026
Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks
Daniel Gruen Leads LMU’s Observational Campaign on SN Winny to Help Resolve the Hubble Tension
That the Universe is expanding has been known for almost a hundred years now, but how fast? The exact rate of that expansion remains hotly debated, even challenging the standard model of cosmology. A …
19.02.2026
COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious
MCML Research Insight - With Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, and Zeynep Akata
Today’s AI systems are remarkably good at recognizing what stands out most. Yet understanding how details relate to each other remains surprisingly difficult. Imagine asking an AI assistant to …
19.02.2026
Benjamin Lange Featured on Bayerischer Rundfunk Podcast
Can AI Lie? – How Manipulative Are Chatbots?
MCML Junior Research Group Leader Benjamin Lange was featured on the Bayerischer Rundfunk podcast IQ – Wissenschaft und Forschung in the episode “Kann KI lügen? – So manipulativ sind Chatbots.” In the …
13.02.2026
Digdeep Podcast: Will School Still Work When AI Becomes the New Classmate?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep Jochen Kuhn and Florian Karsten explore how school will change when children grow up with AI and chatbots that can provide knowledge at any time and even take over tasks. …
05.02.2026
Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant
Project Will Develop a Multiscale AI Model Connecting Cellular and Organ-Level Processes
MCML Director Daniel Rueckert and MCML PI Fabian Theis have received funding through the $20 million AI for Science fund by Google.org. Their project, based at Technische Universität München and …
05.02.2026
Needle in a Haystack: Finding Exact Moments in Long Videos
MCML Research Insight - With With Tanveer Hannan and Thomas Seidl
Long videos are everywhere, with footage of movies, YouTube videos, body-cam recordings, and AR/VR often running for tens of minutes or even hours. Now imagine asking a simple question like “Where are …
04.02.2026
Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”
Bavarian Earth Observation Satellite Network Ready for Launch
MCML PI Benjamin Busam is leading the scientific design of the Bavarian Earth observation satellite network “CuBy”, which is scheduled for launch in June 2026. The system consists of five small …
30.01.2026
Cracks in the Foundations of Cosmology
Daniel Grün Explains How Observations Test Our Understanding of the Universe
There was a time when the Andromeda Nebula was the end of the Universe. At least, a number of astronomers in the early 20th century still thought that fuzzy objects in the night sky – such as the …
29.01.2026
Digdeep Podcast: Anna Kopp, How Does Microsoft Bring People and AI Together?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep the team speaks with Anna Kopp, Director of Microsoft Digital Germany, about the meaningful integration of AI, agents, and human work. She describes how work at Microsoft …
29.01.2026
How Machines Can Discover Hidden Rules Without Supervision
MCML Research Insight - With Tobias Schmidt, and Steffen Schneider
How can machines learn the hidden rules that govern how systems change—how objects move, how weather patterns unfold, or how biological signals evolve—without ever being told what those rules are?
28.01.2026
Matthias Nießner Co-Founds AI Startup Synthesia
Interactive AI Avatars Reshape Corporate Training
The London-based AI company Synthesia, co-founded by MCML PI Matthias Nießner, has raised an additional $200 million, bringing its valuation to $4 billion. Synthesia is one of Europe’s most valuable …
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
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 …
2020-10-13 - Last modified: 2026-03-24