Numerous Manufacturers Use Insecure Android Kernels

In an analysis of smartphones of ten manufacturers, researchers at TU Graz have found that the Android kernels used are vulnerable to known attacks – so-called one-day exploits – despite existing…
In an analysis of smartphones of ten manufacturers, researchers at TU Graz have found that the Android kernels used are vulnerable to known attacks – so-called one-day exploits – despite existing…
Researchers at TU Graz have published a video game about the health effects of the microbiome and what impact our lifestyle has on it.
One topic, but a multiplicity of angles and perspectives.
Climate change is omnipresent.
And it is also having an impact on our cities.
Scientists at TU Graz are researching how urban
living spaces can respond to these changes.
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.
Online activities can be monitored in detail simply by analysing latency fluctuations in the internet connection, researchers at Graz University of Technology have discovered. The attack works without…
An interdisciplinary team at TU Graz offers revolutionary insight into the design of sustainable buildings. The advantages and disadvantages of different construction measures are visualised in real…
The chemist works on the next generation of organic solar cells at the Institute of Chemical Technology of Materials at Graz University of Technology. The alpha+ Foundation of the Austrian Science…
Based on the core subjects of computer science, mathematics and statistics and taught in English, the NAWI Graz Master’s programme offers profound yet practical education in data analysis,…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
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