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.
- 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.
Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support. - First school in Germany to use eye tracking and AI in maths lessons. - Professor at the Technical University of Munich (TUM) has enhanced the system with artificial intelligence. - System recognises pupils' individual strengths and weaknesses.
Researchers at the Technical University of Munich (TUM) have developed a wheeled robot that makes its way through a crowd of people safely and without hesitation. A computer on board predicts the movement of people in the vicinity and how they are likely to react to the robot. From this, it calculates the fastest route. Similar algorithms could also be used for humanoid robots or autonomous driving to enable safe interaction between robots and humans.
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at the Technical University of Munich (TUM) and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.
