One of the most important international space prizes is going to Würzburg: Professor Klaus Schilling will receive the Malina Medal 2023 for his outstanding achievements in space research and education.
The Technical University of Munich (TUM) and Ludwig-Maximilians-Universität (LMU) München are launching a continuing education and research program on reliable artificial intelligence (AI). The new Konrad Zuse School of Excellence in Reliable AI (relAI) will work with M.Sc. and Ph.D. students on technical aspects of AI as well as issues related to the importance of reliable AI for society.
Physicists at the University of Regensburg (UR) led by the research groups of Professor Dr. Christoph Strunk / Dr. Nicola Paradiso and Professor Dr. Jaroslav Fabian made an exciting discovery: In their publication just published in Nature Nanotechnology, the research teams experimentally demonstrate a dramatic sign change of the supercurrent diode effect. The corresponding experimental data are in quantitative agreement with the theory of Dr. Andreas Costa, also physicist at the University of Regensburg.
The responsible institutions are the University of Bayreuth and the Technical University of Applied Sciences Augsburg: close cooperation in the future fields of digitization.
The Technical University of Munich (TUM) works for stronger research, continuing education and spin-offs relating to education technologies. At the new TUM Center for Educational Technologies interdisciplinary research teams will investigate the effectiveness of digital tools for learning and teaching and will develop new applications. The center will put this into practice using continuing education programs and by supporting start-ups.
- The AI requirements of classical robotics are more complex than language. - In environments where safety is a concern, regulation is important. - TUM ethics professor Alena Buyx: societies have the right to actively shape the use and regulation of technologies. - Prof. Klaus Diepold has doubts about the intelligence of ChatGPT. ChatGPT can make programming more efficient, write texts, act as a brainstorming partner or create design proposals. But when it comes to the deployment of generative artificial intelligence in the physical world of robotics, researchers at the Technical University of Munich (TUM) are cautious.
A robot can be as small as a pill or as big as a (self-driving) car. It can look like a person or fly like a drone. “A robot,” says Angela Schoellig, Humboldt Professor at the Technical University of Munich (TUM), “is the continuation of what humans have been doing since the Stone Age: developing tools to perform tasks faster and better.” At TUM, many researchers at the global forefront of their fields are addressing a wide range of challenges in robotics.
So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations on RNA formation six times more precisely than previous models. As a result, the genetic causes of rare hereditary diseases and cancer can be identified more precisely.
Magdalena Glas and Alexander Kalus, PhD students at the Faculty of Informatics and Data Science (FIDS), University of Regensburg, received internationally prestigious award for their research work.
Increasing heat and drought are changing forests faster than expected. Researchers at the University of Würzburg want to keep a better eye on these dynamics. The Bavarian Research Institute for Digital Transformation (bidt) of the Bavarian Academy of Sciences and Humanities is funding their project with 1.2 million euros.
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