news 2022

By Birgit Baustädter Discrete mathematics is so much more than just "the language of computer science", as it is often referred to. But it is not "discrete" in the usual sense. Points are particularly discrete. Discrete mathematics derives from the Latin discernere, which means "to separate". "Discrete mathematics is about delimited or clearly separated objects - such as points, lines or sequences of integers," explains Oswin Aichholzer, a computer scientist at Graz University of Technology (TU Graz).

The computing power of quantum computers is currently still very low. Increasing it is currently still proving to be a major challenge. Physicists at the University of Innsbruck now present a new architecture for a universal quantum computer that overcomes such limitations and could be the basis for building the next generation of quantum computers in the near future.

By Birgit Baustädter Researchers at TU Graz have for the first time reproduced the function of vision on a detailed model of the mouse brain. Until now, brain structures could be modelled, but it was not possible to perform specific functions.

Researchers in Graz develop technology for precise assessment of the danger of virus variants One of the greatest difficulties in combating viral infectious diseases is the excellent adaptability of the viruses. In the case of SARS-CoV-2, we have seen how quickly new variants are constantly being formed that bring with them different properties.

By Birgit Baustädter International IT security research teams headed by Daniel Gruss of TU Graz have released information on two new forms of cyberattack that exploit hardware. Reliable, bug-free computer hardware provides the foundation for secure software. Now, vulnerabilities on the hardware side are increasingly attracting the attention of hackers and developers alike, not least following the discovery of the Meltdown and Spectre side-channel attacks by TU Graz researchers in 2018.

By Christoph Pelzl Research published in Nature Machine Intelligence illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems. For the first time TU Graz's Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less energy while running on neuromorphic hardware than non-neuromorphic hardware.

Quantum memristor as missing link between artificial intelligence and quantum computing In recent years, artificial intelligence has become ubiquitous, with applications such as speech interpretation, image recognition, medical diagnosis, and many more. At the same time, quantum technology has been proven capable of computational power well beyond the reach of even the world's largest supercomputer.

By Christoph Pelzl Researchers at TU Graz have modelled an AI system for automotive radar sensors that filters out interfering signals caused by other radar sensors and dramatically improves object detection. Now the system is to be made more robust to weather and environmental influences as well as new types of interference.

By Yannic Maus Many of today's and tomorrow's computer systems distribute data to several machines, or the systems are built on top of large-scale networks, such as the internet or sensor networks. Our research builds the theoretical foundations for these settings. We analyse and develop distributed algorithms that are fast and communication efficient.