news 2024

ISTA researchers investigate why graph isomorphism algorithms seem to be so effective Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop algorithms that can compare any two graphs.

More accurate orbit predictions for satellites and space debris as well as a better understanding of the water masses present on Earth: Researchers at TU Graz have achieved both using satellite laser ranging. What do the Earth's gravitational field and the trajectories of satellites and space debris have in common? The Earth's gravitational field influences the orbits of our companions in space, while the changes in the orbits in turn allow conclusions to be drawn about changes in the gravitational field and thus existing water masses.

By evaluating the values of hardware performance counters, researchers are able to read sensitive data from SEV-SNP virtual machines. An international research team led by Graz University of Technology has discovered a new security vulnerability in AMD's SEV-SNP cloud computing solution. SEV-SNP was developed specifically to protect sensitive data from access by cloud providers and potential hackers.

Integrating post-quantum security algorithms into hardware was previously considered a challenge. A research team at Graz University of Technology has developed standardized hardware with additional security measures. They are not yet a reality, but in the not too distant future, sophisticated, powerful quantum computers will be available.

Help in the search for missing persons: New JKU method enables three-dimensional perception of drone images in real time. This works even with strong occlusion and at long distances. Human visual depth perception, i.e. the ability to perceive objects at different distances, is essentially based on the fact that our eyes see slightly different images in terms of perspective.

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications can also be accelerated using this procedure. Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements.

Scientists Develop Smart Software Tool for Chemical Risk Evaluation In recent years, machine learning models have become increasingly popular for risk assessment of chemical compounds. However, they are often considered 'black boxes' due to their lack of transparency, leading to scepticism among toxicologists and regulatory authorities.

Finding and fixing errors in programme code still takes up a lot of developers' time. A team at TU Graz has now developed a solution that tackles the biggest time wasters. Modern software applications usually consist of numerous files and several million lines of code. Due to the sheer quantity, finding and correcting faults, known as debugging, is difficult.

Many decisions are being made by neural networks. But are they rational and fair? Methods to ensure this are being developed at TU Wien. Many decisions that were previously made by humans will be left to machines in the future. But can we really rely on the decisions made by artificial intelligence? In sensitive areas, people would like a guarantee that the decision is actually sensible, or at least that certain serious errors have been ruled out.

Together, the University of Innsbruck and the spin-off AQT have integrated a quantum computer into a high-performance computing (HPC) environment for the first time in Austria. This hybrid of supercomputer and quantum computer enables the solution of complex tasks in chemistry, materials science or optimization and is already being tested by users in research and industry .

Researchers at the University of Innsbruck have presented a new method for planning computing operations on a quantum computer. A generative machine learning model is used to find a suitable sequence of quantum gates to execute a quantum operation. The study, which has now been published in the journal Nature Machine Intelligence , is an important step towards exploiting the full potential of quantum computers .

Researchers from TU Graz and the University of Graz have digitised a broken altar stone from Lavant so that citizens can put it together on the internet. The aim is to achieve what generations of archaeologists have failed to do. The Bishop's church at Kirchbichl in Lavant in East Tyrol is one of the most important early Christian monuments in Austria.

An international collaboration of researchers, led by Philip Walther at University of Vienna, have achieved a significant breakthrough in quantum technology, with the successful demonstration of quantum interference among several single photons using a novel resource-efficient platform. The work published in the prestigious journal Science Advances represents a notable advancement in optical quantum computing that paves the way for more scalable quantum technologies.

Researchers at TU Graz were successful with three different side-channel attacks on graphics cards via the WebGPU browser interface. The attacks were fast enough to succeed during normal surfing behaviour. Modern websites place ever greater demands on the computing power of computers. For this reason, web browsers have also had access to the computing capacities of the graphics card (Graphics Processing Unit or GPU) in addition to the CPU of a computer for a number of years.

An international research team led by Adam Gosztolai from MedUni Vienna has developed a new computer-aided method that makes it possible to precisely analyse and compare neuronal activity patterns in the brains of different living beings. The method, called MARBLE (MAnifold Representation Basis LEarning), uses modern machine learning algorithms to decode complex, dynamic processes in the brain, but can also advance research in other areas.

ISTA researchers welcome AI use in science, but remain cautious From identifying complex morphologies in the brain to analyzing the properties of storm clouds, artificial intelligence (AI) algorithms are aiding several research projects employing deep learning and machine learning at the Institute of Science and Technology Austria (ISTA).