How Permeable are Paper Food Packaging Materials?
A new AI model developed by TU Graz combines data from laboratory tests with the laws of physics to calculate how well different types of paper protect food from flavour loss and contaminants.
A new AI model developed by TU Graz combines data from laboratory tests with the laws of physics to calculate how well different types of paper protect food from flavour loss and contaminants.
By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is developing models that deliver better results…
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.
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.
An international research team involving TU Graz has developed flexible MOF films that can bind and release carbon dioxide (CO₂) based on light and temperature stimuli – a promising approach for…
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…
An international research team has developed certified biodegradable and recyclable multi-purpose foams.
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.
Concrete is mixed a bit like cake batter - TU Graz researcher Dirk Schlicke demonstrates it and explains what concrete is, what it can do and how it is made.
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.
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