The method developed by VRVis for enhancing the transparency of AI-supported decision-making processes in digital radiology has been awarded the renowned IT prize.
For more than a decade, Dibit, VRVis and Joanneum Research have been jointly developing solutions for the surveying and quality assurance of tunnels.
Project kick-off: The AM4Rail research team explores solutions for producing train spare parts using 3D printing to save time, costs and CO2 emissions.
The research project CognitiveXR focuses on developing a platform that enables cognitive augmentation in the smart city domain by seamlessly integrating augmented reality, edge computing, and artificial intelligence.
With the help of 3D printing (additive manufacturing), spare parts for defective trains can be produced more easily and in a sustainable way as well as faster and cheaper - a great potential for the climate-friendly future of train transport companies.
Training AI algorithms requires a great amount of data. However, raw data often contains sensitive information. Homomorphic encryption offers a solution for secure machine learning - with protected sensitive data.
