Munich is home to the world's first fully automated sensor network for measuring urban greenhouse gas emissions based on ground-based remote sensing of the atmosphere. It has been developed by scientists in the group of Jia Chen, Professor of Environmental Sensing and Modeling at the Technical University of Munich (TUM). Now, anyone can view the measurement data via an Internet platform.
With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes.
The Manufacturing & Remanufacturing research group at the University of Bayreuth and the Fraunhofer Project Group Process Innovation, which is also based there, are pooling their expertise under the umbrella brand “Produktion.Besser.Machen.” (making production better). The aim is to support small or medium-sized enterprises in particular, so-called SMEs, in the region in becoming more future-proof, resilient, and sustainable.
With the help of AI, Landshut University of Applied Sciences wants to optimise internal company logistics and therefore increase the competitiveness of production industries in Bavaria
The clock drawing test has been used for several decades as a simple and effective means of diagnosing disruptions to spatial orientation and dementias. Scientists at the Pattern Recognition Lab at the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) fed AI neural networks with data from 2500 tests to teach them how to assess these results independently. The research findings have been published in the journal Scientific Reports. The same group also plan to launch open source software that could make diagnosing dementia much easier for medical and neuropsychological specialists
Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: They require just seconds to interpret whole-body scans of mice and to segment and depict the organs in colors, instead of in various shades of gray. This facilitates the analysis considerably.
A team of researchers from the Technical University of Munich (TUM), the Bavarian Academy of Sciences and Humanities, and the Norwegian University of Science and Technology (NTNU) in Trondheim have discovered an exciting method for controlling spin carried by quantized spin wave excitations in antiferromagnetic insulators.
Researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) have received a total of 1.32 million euros in funding from the German Research Foundation (DFG) for developing new procedures for voice diagnostics which can be used to diagnose and investigate voice disorders, hoarseness and their causes.
Since the 2019/20 season, controversial referee calls in the English Premier League may be technically reviewed and, if deemed necessary, corrected. Using a Twitter analysis of 129 games in the English Premier League, a research team from the Technical University of Munich (TUM) has now determined how decisions made by video referees affect the mood of the fans.
To what extent does our cultural background and the legal environment affect how willing we are to disclose our personal data? Does it make a difference if the data is transferred to another country—a common feature of many transactions? An interdisciplinary group of researchers from three of the University’s faculties are currently investigating these and other questions in a project entitled ‘Vektoren der Datenpreisgabe’ (vectors of data disclosure). This project, which is to include an international comparative study, will combine approaches from the academic disciplines of law, cultural studies and information systems to tackle the topic.