We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.
MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.
Unite leading researchers in Germany, to strengthen international, national and regional competence in the field of ML and AI. We foster talent and make corresponding potential accessible to users from science, industry and society.
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
A research team led by MCML PI Xiaoxiang Zhu has released the GlobalBuildingAtlas, the first global high-resolution 3D model of all buildings on Earth.Based on 2019 satellite data, the atlas includes more than 2.75 billion buildings worldwide. It offers a ground-breaking spatial resolution of 3×3 …
04.12.2025
Large language models like ChatGPT or Gemini are now everywhere, from summarizing text to writing code or answering simple questions. But there’s one thing they still struggle with: admitting uncertainty. Ask a fine-tuned LLM a tricky question, and it might sound quite confident, even when it’s …
©MCML
01.12.2025
From May to July, I spent three exciting months as a visiting researcher at the Computer Science Department of Princeton University, hosted by Prof. Manoel Horta Ribeiro. The visit grew out of a keynote Manoel gave at LMU. After his talk, we discussed potential joint projects at the intersection of …
08
Dec
Workshop • 08.12.2025 • LMU IEC Space
9:00 am - 5:30 pm
In this Workshop, participants learn how to uncover real user needs using Design Thinking methods such as empathy building, problem exploration, and rapid testing. They translate these insights into clear user and buyer personas and validate whether …
10
Dec
Colloquium • 10.12.2025 • LMU Department of Statistics, Room 144, Ludwigstraße 33, 80539 Munich
4:15 pm - 5:45 pm
Economists often use remote sensing variables (RSVs), such as satellite imagery, to estimate treatment effects in experiments when direct economic measurements are lacking. The usual method of training a predictor based on an observational sample and …
10
Dec
Open Lab Day • 10.12.2025 • Boltzmannstraße 1, 85748 Garching
5:30 pm - 7:00 pm
At the Open Lab Day 2025 on December 10th at the Center for Virtual Reality and Visualization (V2C) of the Leibniz Rechenzentrum (LRZ), the focus is on the presentation of projects by LMU and TUM students under the motto “Linked Dimensions”.During an …
2018-12-10 - Last modified: 2025-12-04