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.
For over 150 years, a rule of thumb dating back to the French mathematician Pierre Ossian Bonnet has been accepted in surface theory: if the metric and mean curvature of a compact surface are known at every point, then the surface can be uniquely determined. However, a team of three mathematicians from the Technical University of Munich (TUM), the Technical University of Berlin and North Carolina State University have now managed to disprove this recognized rule.
- Researchers combine 3D image recognition with language models. - Artificial intelligence can be integrated into any robot. - Robots use continuous probability calculations to guide searches.
- TUM and NEURA Robotics are establishing a 2,300-square-meter facility at the TUM Convergence Centre at Munich Airport, where the partners will develop the TUM RoboGym. - According to TUM Professor Lorenzo Masia, the research and training center “will create an important counterweight to competitors in the USA and China and ignite a new synergistic approach and a unique collaboration paradigm between academia and industry.” - In TUM RoboGym, robots will learn general capabilities that they can then independently apply to specific tasks.
- The AI chip is cyber-secure and cloud-independent. - The hardware is based on the RISC-V open-source standard. - The chips are scheduled to be manufactured in Dresden in 2028.
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.
