How do we actually define intelligence? This question still has no clear answer. Without an answer, however, it is difficult for us to understand what artificial intelligence actually is. Generally speaking, "artificial intelligence" today is understood to be algorithms that learn independently in different ways based on given data and can then make decisions. For example, whether a dog is visible in a picture. But they also help researchers to recognise patterns and structures in vast amounts of data - also known as Big Data - they improve medical imaging or support vehicles on their way to autonomy.
At TU Graz, researchers are working on and with artificial intelligence in very different fields.
With higher computing power and adapted AI training, the system developed at TU Graz can control several pedestrian crossings simultaneously and recognises people with limited mobility or strollers. The green phase can thus be extended as required.
An interdisciplinary research group at TU Graz is working on constructing logic circuits through the targeted arrangement of individual molecules. Artificial intelligence should speed up the process enormously.
Researchers from TU Graz, Pro2Future and the University of St. Gallen have developed methods that enable IoT devices to run AI models with minimal memory - for example, to correct positioning errors.
Ozan Özdenizci has been working on the Bilateral AI project at TU Graz since May and is part of a larger endeavour to put artificial intelligence (AI) on a broader footing.
Elisabeth Lex took up the Professorship for Human Computer Interfaces and Inclusive Technologies at TU Graz in June. She explains what led up to this in the interview.
In addition to helping in a practical way, recommendations based on AI should above all be fair. A new study by researchers at TU Graz, Uni Graz and the Know Center shows hof this can be achieved.
Elisabeth Lex's research combines computer science methods with social science approaches, searching for clues to understand framing, polarisation and opinion clusters.
Thomas Pock conducts research into image processing using artificial intelligence at the Institute of Computer Graphics and Vision at TU Graz. A conversation about the sunny and shadowy sides of technology.
Roman Kern conducts research in artificial intelligence at the Institute of Interactive Systems and Data Science at TU Graz. A conversation about the future of AI and general concerns about the topic.
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.
Artificial intelligence and machine learning as the most important tools of the future are the focus of the TU Graz research magazine.
Robert Legenstein is a computer scientist at TU Graz and heads the Institute of Theoretical Computer Science. He researches artificial neural networks and tells us about his work.
Researchers at TU Graz have for the first time reproduced the function of vision on a detailed model of the mouse brain.
Research published in Nature Machine Intelligence illustrates neuromorphic technologiy is up to sixteen times more energy-efficient for large deep learning networks than then other AI systems.
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.
Thomas Pock, researcher at the Institute of Computer Graphics and Vision at TU Graz explains what machine learning is and what it has to do with artificial intelligence.