At TUM, the Munich School of Robotics and Machine Intelligence is carrying out cutting-edge interdisciplinary research into AI and robotics for everyday life.
Using smart sensor and measurement techniques to make farming more efficient and sustainable is the goal of a team of researchers at the Technical University of Munich.
New supramolecular materials can be used in energy production and medical devices. A team at the TUM Innovation Network ARTEMIS aims to identify the best materials for use with the help of machine learning.
Parasitic worms help Professor Clarissa Prazeres da Costa and her team better understand the human immune system in order to find solutions to global health problems.
Early-career researchers at MCQST are conducting cutting-edge research in quantum science and technology. The START fellowship program supports them to develop their own projects and take steps toward building an independent career.
High up in the Alps, Dr. Homa Ghasemifard collected data to better understand climate change, identifying major pollution sources on the European continent – using an environmental research station that used to be a luxury hotel.
The disruptions in global trading markets resulting from the war in Ukraine, among other causes, have focused public attention on the issue of securing a sufficient supply of high-quality foods for the global population. Researchers at the Technical University of Munich (TUM) are searching for modern methods to boost global harvests and thus to ensure global food security. Wheat plays a special role in these efforts.
A research team from the Leibniz Institute for Food Systems Biology at the Technical University of Munich (LSB) has succeeded in automating an established method for the gentle, artifact-avoiding isolation of volatile food ingredients. As the team's current comparative study now shows, automated solvent-assisted flavor evaporation (aSAFE) offers significant advantages over the manual process. It achieves higher yields on average and reduces the risk of contamination by nonvolatile substances.
More and more bacteria are becoming resistant to antibiotics. Bacteriophages are one alternative in the fight against bacteria: These viruses attack very particular bacteria in a highly specific way. Now a Munich research team has developed a new way to produce bacteriophages efficiently and without risk.
Mass-spectrometry based proteomics is the big-data science of proteins that allows to monitor the abundances of thousands of proteins in a sample at once. It is therefore a particularly well suited readout to discover which proteins are targeted by any small molecule. An international research team has investigated this using chemical proteomics.
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