At TUM, the Munich School of Robotics and Machine Intelligence is carrying out cutting-edge interdisciplinary research into AI and robotics for everyday life.
At THI, guest professor Alessandro Zimmer is strengthening collaborations between Bavaria and Latin America, driving research in AI and mobility engineering across the globe.
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.
Together with industry, researchers at the Technical University Munich (TUM) are shaping the future of work with the new "KI.FABRIK" (AI.Factory) and the German-French Academy for the Industry of the Future (GFA).
At JMU Würzburg, Professor Laurens W. Molenkamp and his team are conducting pioneering work on topological materials. With its cutting-edge technology, the new Institute for Topological Insulators will be the ideal place for them to develop this research.
The Technical University of Munich (TUM) is among the best universities in the world for preparing students for the digital economy. In the latest Digital Leaders in Higher Education rankings, it ranks among the top five, alongside Harvard University, the University of Cambridge, MIT and the University of Oxford.
Experimental and theoretical physicists from the Würzburg Institute for Topological Insulators observed a re-entrant quantum Hall effect in a mercury telluride device and identify it as a signature of parity anomaly.
An increasing share of submissions to the Ethics Committee of the Technical University of Munich (TUM) – now one in six – relate to topics such as human-machine interactions, artificial intelligence, data protection and personality rights – and no longer solely to medical issues. In response to this trend, TUM has now established a non-medical subcommittee.
Researchers at the Technical University of Munich (TUM) have developed a method for assessing the number and structure of aggregated blood platelets (or thrombocytes) that can potentially help quantify the risk of a severe COVID-19 infection. As a result, they have identified a predictive biomarker for the seriousness of a COVID-19 infection. This will allow physicians to adjust treatment at an early stage. The researchers used a method from image-based flow cytometry that permits the rapid analysis of interactions between large numbers of blood cells.
A new Würzburg space mission is on the home straight: The SONATE-2 nanosatellite will test novel artificial intelligence hardware and software technologies in orbit.
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