On the Way to a Truly Intelligent AI

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.
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.
The Artificial Intelligence Engineering extension programme offers master’s students and graduates the opportunity to learn the basics of computer science and apply AI methods to their specialist…
One topic, but a multiplicity of angles and perspectives.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
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.
Prospective students compare their interests with a set of assessment criteria and receive suggestions for suitable Bachelor's degree programmes.
A research team at TU Graz has developed a system for structural monitoring that can be integrated directly into structural management and used sustainably for preventive maintenance planning.
From summer term 2025, athletes will benefit from the KADA support programme as well as more flexible study arrangements to help combine studying and competitive sport.
The new method optimises the technical design with regard to classic objectives such as costs, efficiency and package space requirements and also takes greenhouse gas emissions along the entire supply…
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…
With the “Graz corpus of read and spontaneous speech”, researchers at TU Graz have developed new methods for speech recognition of Austrian German using speech data from 38 people.
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