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.
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.
Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
Sensors in electronic devices work with high-frequency signals. For maximum accuracy in the measurements, the parametric amplification effect is used. Researchers at the Technical University of Munich (TUM) are investigating how this effect can significantly expand the functionality of sensors. Possible applications include improved location positioning with microelectromechanical sensors like those used in smartphones.
Due to the special way they function, quantum computers will be capable of breaking current encryption methods. A competition initiated by the US federal agency NIST aims to change this. It is seeking algorithms that will successfully resist cyber attacks from quantum computers. However, it has become evident that it will be far from simple to develop suitable cryptographic schemes. Researchers at the Technical University of Munich (TUM) have submitted two proposals to the NIST competition. They feel optimistic about their results.