23.04.2026
Teaching NLP in the LLM Era: Workshop TeachNLP 2026
International Workshop at EACL 2026 Co-Organized by Our Junior Member Matthias Aßenmacher
How should Natural Language Processing be taught in the age of large language models? This question brought researchers and educators together at the Seventh Workshop on Teaching Natural Language …
23.04.2026
Digdeep Podcast: How Can Dr. ChatGPT Actually Help the Family Doctor, Prof. Jochen Gensichen?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
This episode of #digdeep is with Jochen Gensichen, director of general medicine at the LMU Clinic in Munich. For most people in Germany, the general practitioner’s office is the first point of contact, …
23.04.2026
Development of a New AI Foundation Model
New Infrastructure Aims to Enable More Efficient and Accessible AI
The Bavarian AI Foundation Model Initiative is a flagship project funded by the Bavarian State Ministry of Science and the Arts (StMWK) to strengthen Bavaria’s technological sovereignty in the field …
23.04.2026
When Vision AI Hallucinates Details
MCML Research Insight – With Rui Xiao, Sanghwan Kim and Zeynep Akata
A photo shows a dog on a sofa. You ask an AI assistant: Is there also a cat sitting next to it? The assistant confidently says yes, even though there is no cat at all. In many everyday situations, …
16.04.2026
Welcoming Achim Lilienthal to MCML
Advancing Perception and Autonomy in Robotics Through AI-Driven Systems
We are pleased to welcome Achim J. Lilienthal as a Principal Investigator at MCML. Achim J. Lilienthal is Professor at the Technical University of Munich, where he holds the Chair of Perception for …
16.04.2026
Welcoming Valentin Hofmann to MCML
Exploring How Language, Society, and AI Interact in Modern NLP Systems
We are pleased to welcome Valentin Hofmann as a Principal Investigator. Valentin Hofmann is a Junior Professor for Information and Language Processing Using AI Methods at LMU Munich. His research …
16.04.2026
Do Language Models Reason Like Humans?
MCML Research Insight – With Philipp Mondorf and Barbara Plank
Imagine reading the sentence: “If it rains, the streets will be wet.” Most people would consider it perfectly reasonable. Now consider a different statement: “If the moon is made of cheese, the …
09.04.2026
Digdeep Podcast: Why Does AI Have an Incomplete Picture of Our World, Wiebke Hutiri?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep speeks Wiebke Hutiri, Senior Research Scientist at Sony. The podcast describes how AI systems make decisions about people every day, but often rely on unbalanced training …
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Award Supports Establishment of Independent AI Research Group
MCML Junior Member Nikita Araslanov has been awarded a prestigious Emmy Noether Grant by the German Research Foundation (DFG). The grant will support Nikita in establishing his independent research …
02.04.2026
How AI Avatars Shape Perceived Fairness
MCML Research Insight – With Ka Hei Carrie Lau and Enkelejda Kasneci
Imagine applying for a job and being interviewed not by a human recruiter, but by an AI avatar on your screen. The conversation feels surprisingly natural. The interviewer smiles, asks questions, and …
31.03.2026
How Can a Machine Understand the World in 3D?
Appointment With... Benjamin Busam
MCML PI Benjamin Busam researches how machines can perceive and understand their environment in three dimensions. At the intersection of computer vision, robotics, and artificial intelligence, he …
26.03.2026
Digdeep Podcast: OpenClaw, Claude Code & Co. – What Can These New AI Sprites Do for Us, Ralf Klüber?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep the digital expert Ralf Klüber talks about AI assistants and their meaning for executives and companies. The podcast describes the rapid progress of AI agents, which now …
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 …
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 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 …
2020-10-13 - Last modified: 2026-04-23