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Computer Science - Life Sciences - 08.12.2020
Future of Computing: Learning-Based, Energy-Efficient and Brain-Inspired
Future of Computing: Learning-Based, Energy-Efficient and Brain-Inspired
By Robert Legenstein Computer science is at a turning point. Novel Machine Learning (ML) methods are revolutionizing how we think about computation and build computers. ML is believed to provide a path to artificial intelligence. Current ML systems however are energy hungry, which renders them unsuitable for edge applications and contributes to environmental problems.

Computer Science - Innovation - 06.12.2020
Trust me!
Trust me!
By Cornelia Kröpfl BA MA When cars drive autonomously, technical faults can be fatal. Can we trust technology? Researchers at Graz University of Technology are working on calculating and ultimately proving this dependability. 75 billion everyday objects - from the smart watch and the self-driven car to entire production plants in Industry 4.0 - are to be joined up by 2025.

Computer Science - Mathematics - 05.12.2020
From the Wild West to data security
From the Wild West to data security
By Cornelia Kröpfl BA MA 30 years ago, data security was a niche topic. Today, researchers at TU Graz are laying the foundations for a completely new way of thinking about security. Including future developments. Not so long ago, the mobile phone was primarily used to store contact data. Today, smartphones know where we are and what media we read.

Computer Science - Innovation - 17.11.2020
SGS and TU Graz open Lamarr Security Research
SGS and TU Graz open Lamarr Security Research
By Barbara Gigler SGS and TU Graz announce the opening of Lamarr Security Research, a non-profit research center focusing on information security and establishing trust in digital systems and products. This new research environment is open for partner sponsors to work together, and to make the world a safer place.

Computer Science - 10.11.2020
PLATYPUS: New vulnerabilities discovered in Intel processors
PLATYPUS: New vulnerabilities discovered in Intel processors
By Christoph Pelzl 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.

Computer Science - 28.10.2020
Intelligent maintenance: improved maintenance management for track
Intelligent maintenance: improved maintenance management for track
By Christoph Pelzl TU Graz algorithm-based method provides a basis for decisions on the correct amount of tamping measures on tracks, thus reducing their life-cycle costs by up to 20 per cent. Train journeys should be safe and comfortable, and track systems are crucial to this. So-called "tamping" (positioning, compacting and stabilizing) of the ballast in the track bed is one of the most important maintenance tasks in the railway industry.

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
By Susanne Eigner 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 can be found at the end of the message The future has already arrived.

Computer Science - Life Sciences - 17.07.2020
New learning algorithm should significantly expand the possible applications of AI
New learning algorithm should significantly expand the possible applications of AI
By Christoph Pelzl The e-prop learning method developed at Graz University of Technology forms the basis for drastically more energy-efficient hardware implementations of Artificial Intelligence. The high energy consumption of artificial neural networks' learning activities is one of the biggest hurdles for the broad use of Artificial Intelligence (AI), especially in mobile applications.

Computer Science - Research Management - 24.06.2020
Young researchers making the Internet of Things safer
Young researchers making the Internet of Things safer
By Birgit Baustädter She investigates black-box-systems, while he predicts the state of networked systems. Andrea Pferscher and Markus Tranninger are two of 11 young researchers in the TU Graz project "Dependable Things". Eleven young researchers are working as doctoral students or post-docs in the TU Graz lead project "Dependable Internet of Things in Adverse Environments" - "Dependable Things" for short.

Life Sciences - Computer Science - 23.06.2020
New approach for a biological programming language
New approach for a biological programming language
By Christoph Pelzl 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 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".

Life Sciences - Computer Science - 16.06.2020
Cracking the Code within Us: Bioinformatics of the Human Genome
Cracking the Code within Us: Bioinformatics of the Human Genome
By Leila Taher Improving our understanding of genome structure and function is central to biology and medicine. My research group uses computational models to study the functional potential of each of the three billion pairs of chemical bases in the human genome. Ultimately, we are paving the way to designing personalized interventions against disease, which technological advancements are finally pushing toward reality.

Electroengineering - Computer Science - 27.05.2020
Electronics Based Systems: The Basis for our Future
Electronics Based Systems: The Basis for our Future
By Birgit Baustädter Electronics-based systems have long since found their way into our everyday lives. Consciously in the form of new technical gadgets and unconsciously in the form of embedded systems. It is therefore impossible to imagine our familiar life without electronics-based systems. But, and here researchers are in agreement, they will continue to shape our environment in the future as the basis for many innovative developments.

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".

Mathematics - Computer Science - 08.04.2020
In search of the foundations of discrete mathematics
In search of the foundations of discrete mathematics
By Birgit Baustädter Oswin Aichholzer does basic research - he doesn't invent, he discovers. The theoretical computer scientist is on the trail of basic mathematical rules which he can model and teach the computer. Oswin Aichholzer is wearing a light blue pullover, has a headset on, and is sitting in front of the computer.

Computer Science - 02.04.2020
Pollen measurement system developed at TU Graz analyses pollen fast, cheaply and automatically
Pollen measurement system developed at TU Graz analyses pollen fast, cheaply and automatically
By Christoph Pelzl Researchers at Graz University of Technology have successfully tested a cost-effective and fully automated pollen sensor prototype and are now making their knowledge freely available and usable for everyone. Additional at the end of the text Pollen: essential for the pollination of many plants, but the bane of allergy sufferers.

Computer Science - Transport - 30.03.2020
Invenium - from spin-off to market leader in mobility management
Invenium - from spin-off to market leader in mobility management
By Christoph Pelzl The data analyses of Invenium, a spin-off of Graz University of Technology and the Graz Know Center, help companies to better understand the mobility behaviour of people - and not only in times of the corona crisis. There is an enormous amount of scientific potential in anonymized mobile phone data - as Invenium co-founder Michael Cik recognised as early as 2013.

Computer Science - 10.03.2020
New security vulnerability in Intel processors: Load Value Injection
New security vulnerability in Intel processors: Load Value Injection
By Birgit Baustädter 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.

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.