Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support. - First school in Germany to use eye tracking and AI in maths lessons. - Professor at the Technical University of Munich (TUM) has enhanced the system with artificial intelligence. - System recognises pupils' individual strengths and weaknesses.
The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers at the Technical University of Munich (TUM) have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.
Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether a substance will be liquid or gaseous under given conditions. They report their findings in the renowned journal Physical Review X.
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at the Technical University of Munich (TUM) and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.
Generative AI copilots are already being used in many companies. Can they assist employees with data analysis and decision-making? And if not, how can this be changed? These are some of the questions addressed by a team at the University of Passau in a new bidt project led by Professor Ulrich Gnewuch.
Hof, Germany – The rapid development of artificial intelligence (AI) brings not only technological advancements but also complex ethical questions. Particularly in the case of generative AI, such as text and image generation models, the issue of biased outcomes has come under scrutiny. Professors Dr. René Peinl, Marc Lehmann, and Dr. Andreas Wagener from the Institute for Information Systems (iisys) at Hof University of Applied Sciences have analyzed this issue and arrived at intriguing findings.
Designing new cars is expensive and time consuming. As a result, manufacturers tend to make only minor changes from one model generation to the next. With DriverAerNet++, researchers at the Technical University of Munich (TUM) and the Massachusetts Institute of Technology (MIT) have now developed the largest open-source database for aerodynamic car design. More than 8000 models representing the most common vehicle types will make it possible to create more efficient designs with the aid of artificial intelligence. The goal is to make development processes more cost-effective while improving fuel efficiency and making advances in electric vehicles.
Professors Ivo Boneca (Institut Pasteur, Paris), Mark Brönstrup (Helmholtz Centre for Infection Research, Braunschweig), and Christophe Zimmer (University of Würzburg) have jointly been awarded one of the most prestigious European research prizes, an ERC Synergy Grant worth eleven million euros. The trio is pursuing an AI-based approach to make the systematic search for new antibiotics more efficient.
- The TUM and the Pfennigparade Foundation have started a three-year research collaboration. - The research will focus on the potential of robotics and AI-based technologies to help people with motor disabilities in their daily lives. - The research collaboration has received approval from the TUM Ethics Committee.
Science Minister Markus Blume announces the funding of ten young scientists at five Bavarian universities of applied sciences. Among them is Dr. Gerald Joy Sequeira. He is researching AI and vehicle safety at the THI.
