How do artificial neural networks and the algorithms derived from them reach correct decisions? And how can this be understood? Gitta Kutyniok, a mathematician, explores the mystery of artificial intelligence.
Dr. Martin Weibelzahl is a post-doctoral researcher at the University of Bayreuth and, among others, leads the large-scale SynErgie project, which is funded by the Federal Ministry of Education and Research and focuses on the design of the German energy transition, at the Project Group Business & Information Systems Engineering of the Fraunhofer FIT. For his outstanding scientific achievements, Dr. Weibelzahl was honoured with the Young Researchers Award from the Gesellschaft für Operations Research e.V. (GOR). During an international conference organised by GOR, he received the award, endowed with € 2,000, on 1 September 2021, together with this year's two other winners.
A team at the Technical University of Munich (TUM) has designed and commissioned the production of a computer chip that implements post-quantum cryptography very efficiently. Such chips could provide protection against future hacker attacks using quantum computers. The researchers also incorporated hardware trojans in the chip in order to study methods for detecting this type of “malware from the chip factory”.
Low-achieving pupils benefit more in mathematics lessons from learning materials on tablet PCs than high-achieving children. They are obviously helped by individualized learning paths, immediate feedback and the hands-on processing of interactive content. This conclusion was reached in a study conducted by the Technical University of Munich (TUM) with sixth-grade students. The team of researchers has developed an eBook for learning fractions, which is available free of charge in English, Spanish and German.
Climate change, a pandemic or the coordinated activity of neurons in the brain: In all of these examples, a transition takes place at a certain point from the base state to a new state. Researchers at the Technical University of Munich (TUM) have discovered a universal mathematical structure at these so-called tipping points. It creates the basis for a better understanding of the behavior of networked systems.
Reflexes protect our bodies – for example when we pull our hand back from a hot stove. These protective mechanisms could also be useful for robots. In this interview, Prof. Sami Haddadin and Johannes Kühn of the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) explain why giving test subjects a “slap on the hand” could lay the foundations for the robots of the future
A Ten-Year Mentoring Journey Begins for the World’s Most Outstanding 119 Students in STEMM and their 119 World-Class Mentors
Researchers in the field of mathematics education at the University of Regensburg together with medical education researchers at the LMU University Hospital of Munich have found that medical diagnoses can be made more often correctly and even faster with the help of natural frequencies and natural frequency trees. The researchers explain their findings in a recently published article in Advances in Health Sciences Education.
Scanning probe microscopes – like the scanning tunneling microscope, and the atomic force microscope – give us valuable information about individual molecules. One of the most interesting areas of research are molecular switches, which can be switched from one configuration to another. Phycisists at the University of Regensburg provided the first demonstration of lateral force microscopy capturing the “snapshot” of a molecular switch, and the team believes this technique will be applied to more systems to better understand the dynamics and stability of molecular switches.
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