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 …
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 …
2020-10-13 - Last modified: 2026-03-19