Researchers at the Technical University of Munich (TUM) have developed a simulation tool to create detailed models of everything from traffic junctions to entire cities to answer various mobility questions.
The MCML is one of Germany's leading research centers for AI and machine learning. It brings together the expertise of renowned researchers and young talents. Three international researchers who moved to Munich to advance their academic career, tell us about their research activities.
Eva Weig and her team are building mechanical quantum sensors large enough to be seen under an electron microscope. One day, they could become fundamental components of a new quantum technology.
How can automated driving in severe weather be made more safe? Doctoral candidate Mohamed Mofeed Chaar is using machine learning to achieve the vision of accident-free road traffic.
How do artificial neural networks and the algorithms derived from them reach correct decisions? And how can this be understood? Gitta Kutyniok, a mathematician, explores the mystery of artificial intelligence.
A new study from the University of Würzburg's Chair of Mathematics Education shows that AI research for STEM education focuses too much on technology and neglects the holistic development of students.
For his outstanding research work in systems theory, Bayreuth mathematician Dr. Andrii Mironchenko has been awarded this year's von Kaven Honorary Award by the German Research Foundation (DFG).
- The AI Robot Safety & Performance Centre at TUM MIRMI has developed a standardized testing system for robot sensitivity. - The Tree of Robots initially records ‘industrial manipulators’ such as single-armed robot arms and their characteristics. - Basic capabilities of robots are represented on a spider diagram.
- MIRMI will be presenting demonstrations focusing on geriatronics and the KI.Fabrik flagship project. - At the munich_i Hightech Summit on 24 June 2025, leading robotics experts from universities and industry worldwide will discuss current topics in robotics and AI. - On 27 June 2025, the prizes for the MIRMI Robothon competition will be presented. Eight international teams will compete.
Fundamental forces in nature are described by complex theoretical models. However, understanding them is challenging due to the complexity of simulating these models, which is beyond the capabilities of conventional supercomputers. A research team from the Technical University of Munich (TUM), Princeton University, and Google Quantum AI has now demonstrated that quantum computers are a powerful tool to investigate such fundamental physics and to glimpse into the dynamics of the building blocks of nature.
