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Computer Science - 09.08.2022
New attacks on computer systems: TU Graz publishes details of Æpic Leak and SQUIP
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.

Life Sciences - Computer Science - 24.05.2022
TU Graz and Intel Demonstrate Significant Energy Savings Using Neuromorphic Hardware
TU Graz and Intel Demonstrate Significant Energy Savings Using Neuromorphic Hardware
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.

Physics - Computer Science - 24.03.2022
Artificial neurons go quantum with photonic circuits
Artificial neurons go quantum with photonic circuits
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.

Computer Science - Environment - 23.02.2022
Robust Radar: New AI Sensor Technology for Autonomous Driving
Robust Radar: New AI Sensor Technology for Autonomous Driving
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.

Physics - Computer Science - 02.09.2021
Way to check that quantum computers return accurate answers
Way to check that quantum computers return accurate answers
Quantum computers become ever more powerful, but how can we be sure that the answers they return are accurate? A team of physicists from Vienna, Innsbruck, Oxford, and Singapore solves this problem by letting quantum computers check each other. Quantum computers are advancing at a rapid pace and are already starting to push the limits of the world's largest supercomputers.

Computer Science - 10.06.2021
Insulators: Safe under Maximum Load
Insulators: Safe under Maximum Load
Insulator strings connect the live conductor to overhead-line towers. Researchers at TU Graz simulated for the first time when and under what conditions different loads act on these strings. Overhead lines will thus be made even safer. Another picture for download can be found at the end of the text Though small and inconspicuous, they literally play a supporting role in the operational safety of high-voltage lines: insulator strings.

Life Sciences - Computer Science - 10.05.2021
Reaching your life goals as a single-celled organism
Reaching your life goals as a single-celled organism
How do simple creatures manage to move to a specific place? Artificial intelligence and a physical model from TU Wien can now explain this. How is it possible to move in the desired direction without a brain or nervous system? Single-celled organisms apparently manage this feat without any problems: for example, they can swim towards food with the help of small flagellar tails.

Computer Science - Physics - 11.03.2021
Robots learn faster with quantum technology
Robots learn faster with quantum technology
Artificial intelligence is part of our modern life by enabling machines to learn useful processes such as speech recognition and digital personal assistants. A crucial question for practical applications is how fast such intelligent machines can learn. An experiment at the University of Vienna has answered this question, showing that quantum technology enables a speed-up in the learning process.

Computer Science - Life Sciences - 11.03.2021
New Approach Found for Energy-Efficient AI Applications
New Approach Found for Energy-Efficient AI Applications
Researchers at TU Graz demonstrate a new design method for particularly energy-saving artificial neural networks that get by with extremely few signals and - similar to Morse code - also assign meaning to the pauses between the signals. Most new achievements in artificial intelligence (AI) require very large neural networks.

Physics - Computer Science - 17.02.2021
Quantum computing: when ignorance is wanted
Quantum computing: when ignorance is wanted
Quantum technologies for computers open up new concepts of preserving the privacy of input and output data of a computation. Scientists from the University of Vienna, the Singapore University of Technology and Design and the Polytechnic University of Milan have shown that optical quantum systems are not only particularly suitable for some quantum computations, but can also effectively encrypt the associated input and output data.

Health - Computer Science - 22.01.2021
Cardiovascular diseases: New computer model improves therapy
Cardiovascular diseases: New computer model improves therapy
Using mathematical image processing, scientists at the BioTechMed-Graz research cooperation have found a way to create digital twins from human hearts. The method opens up completely new possibilities in clinical diagnostics. Additional Images for download at the end of the text Although treatment options are constantly improving, cardiovascular diseases are still one of the most frequent causes of death in Europe.

Computer Science - Research Management - 10.11.2020
PLATYPUS: New vulnerabilities discovered in Intel processors
PLATYPUS: New vulnerabilities discovered in Intel processors
An international team of security researchers from TU Graz, CISPA and University of Birmingham is presenting new side-channel attacks, which use fluctuations in software power consumption to access sensitive data on Intel CPUs. Power side-channel attacks are attacks that exploit fluctuations in power consumption to extract sensitive data such as cryptographic keys.

Life Sciences - Computer Science - 14.10.2020
New Deep Learning Models: Fewer Neurons, More Intelligence
New Deep Learning Models: Fewer Neurons, More Intelligence
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments. Artificial intelligence has arrived in our everyday lives-from search engines to self-driving cars. This has to do with the enormous computing power that has become available in recent years.

Computer Science - Physics - 12.10.2020
When human and machine agree
When human and machine agree
A human research team and a machine learning algorithm have found that we need to rethink much of what we know about iridium oxide.

Computer Science - Transport - 23.07.2020
Software of autonomous driving systems: TU Graz develops methods for the generation of simulation scenarios
Software of autonomous driving systems: TU Graz develops methods for the generation of simulation scenarios
Researchers at TU Graz and AVL focus on software systems of autonomous driving systems. They developed a method for generating safety-critical simulation scenarios and an adaptive control procedure for compensating for internal errors. Additional images for download can be found at the end of the message The future has already arrived.

Life Sciences - Computer Science - 23.06.2020
New approach for a biological programming language
New approach for a biological programming language
New findings by researchers led by TU Graz computer scientists Wolfgang Maass and Robert Legenstein on neural information processing in the brain could enable more efficient AI methods. Additional images for download can be found at the end of the message Specifically, the researchers have succeeded in mathematically modelling the emergence and interaction between so-called "assemblies".

Chemistry - Computer Science - 28.04.2020
Surveying the lipid landscape
Surveying the lipid landscape
Software LipidCreator enables researchers to characterise 60 lipid classes in cells with mass spectrometry Researchers increasingly aim at utilising the manifold functions of lipids in our bodies, e.g. as blood fats or in blood coagulation, to better understand and predict diseases. An international team around Robert Ahrends at the Faculty of Chemistry of the University of Vienna now presented a groundbreaking tool for efficient lipid analysis in the journal "Nature Communications".

Computer Science - 10.03.2020
New security vulnerability in Intel processors: Load Value Injection
New security vulnerability in Intel processors: Load Value Injection
Security researchers at Graz University of Technology together with an international team have once again uncovered a serious security hole in computer processors. With the new security hole published under the name "Load Value Injection", there is another method to read out sensitive data. Spectre, Meltdown , Foreshadow, ZombieLoad und Plundervolt.

Computer Science - 05.03.2020
Neural Hardware for Image Recognition in Nanoseconds
Neural Hardware for Image Recognition in Nanoseconds
An ultra-fast image sensor with a built-in neural network has been developed at TU Wien (Vienna). It can be trained to recognize certain objects. It has now been presented in "Nature". Automatic image recognition is widely used today: There are computer programs that can reliably diagnose skin cancer, navigate self-driving cars, or control robots.

Physics - Computer Science - 13.01.2020
Quantum encryption realized under the sea
Quantum encryption realized under the sea
An international team of researchers from the Austrian Academy of Sciences and the University of Vienna established a quantum encrypted connection between Sicily and Malta via a submarine cable. The record distance of 192 kilometres was a further step in the development of a secure quantum internet.
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