Preventing accidents by computing impending collisions of drones or cars: that is the goal of Darius Burschka. The professor at the Technical University of Munich (TUM) tracks every point in images generated by cameras carried by flying drones or cars on the road. In principle he applies the “constant bearing” technique traditionally used by navigators at sea.
It is a feather in the cap for outstanding research at the Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU): The European Research Council (ERC) has awarded a Consolidator Grant to Prof. Dr. Bernhard Kainz. The professor of Image Data Exploration and Analysis has received the most prestigious research funding award available throughout the whole of Europe for a project focusing on automated medical image analysis. The two million euros in funding over a period of five years is to be used to train computer tools based on artificial intelligence to reliably recognize healthy human tissue based on image material.
The public launch of ChatGPT has led to considerable dismay at schools and universities. However, a position paper authored by more than 20 scientists at the Technical University of Munich (TUM) and Ludwig-Maximilians-Universität (LMU) working in educational, social, computer and data sciences shows that the so-called language models also present many opportunities for education. In this interview, the coordinator Prof. Enkelejda Kasneci explains how the new technology could benefit learners and make teachers’ work easier.
Researchers at the Technical University of Munich (TUM) have developed autonomous driving software which distributes risk on the street in a fair manner. The algorithm contained in the software is considered to be the first to incorporate the 20 ethics recommendations of the EU Commission expert group, thus making significantly more differentiated decisions than previous algorithms. Operation of automated vehicles is to be made significantly safer by assessing the varying degrees of risk to pedestrians and motorists. The code is available to the general public as Open Source software.
From "ell", "bow" and "socius" to "elbow society", more commonly known as dog-eat-dog society: using computer-assisted models, a new ERC-funded research group at the University of Passau under the supervision of Professor Johann-Mattis List has set out to explore a topic that linguists know little about. The European Research Council (ERC) is supporting the project with two million euros.
International research groups led by Prof. Dr. Aldo Faisal, Professor of Digital Health at the University of Bayreuth, have developed a novel set of tools for diagnosing and monitoring neurological diseases based on body-worn sensors (wearables) and artificial intelligence. Digital biomarkers can determine currently reached disease stages and expected disease progression with unprecedented accuracy. In two studies published in Nature Medicine, the researchers report on successful applications of this AI technology, using Friedreich's ataxia and Duchenne muscular dystrophy as examples.
Researchers at the Munich Institute of Robotics and Machine intelligence (MIRMI) at the Technical University of Munich (TUM) have developed a model that enables a robot to serve tea and coffee faster and more safely than humans – with no sloshing. The mathematics behind the pendulum used in the concept is more than 300 years old.
Lifting a glass, making a fist, entering a phone number using the index finger: it is amazing the things cutting-edge robotic hands can already do thanks to biomedical technology. However, things that work in the laboratory often encounter stumbling blocks when put to practice in daily life. The problem is the vast diversity of the intentions of each individual person, their surroundings and the things that can be found there, making a one size fits all solution all but impossible. A team at FAU is investigating how intelligent prostheses can be improved and made more reliable.
What potential do robotic systems hold when it comes to relieving highly qualified nursing staff in hospitals of non-specialist service activities? This is currently being researched by the Professorship of Nursing Science at the Catholic University of Eichstätt-Ingolstadt (KU) and the LMU university hospital in Munich. The cooperative project titled "REsPonSe - Robotersystem zur Entlastung des Pflegedienstes von Servicetätigkeiten” (robot system to relieve nursing staff of service activities) is funded by the German Federal Ministry of Education and Research. The use of a nursing robot is being tested in the nuclear medicine therapy ward of the Munich hospital.
Researchers at the TUMCREATE research platform on the Singapore campus of the Technical University of Munich (TUM) have developed CityMoS – City Mobility Simulator. This concept is now supporting the city state in southern Asia in the electrification of transportation. It is also helping to calculate the impact of transportation on the heat generated in the city. CityMoS is already being deployed in Germany, where it is helping with the e transformation of a DHL Freight logistics terminal.
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