The virtual reality solution developed by VRVis in collaboration with the Vienna State Opera enables digital collaborative stage design and construction rehearsal processes - independent of the actual stage space.
The CosmoWeather research project aims to develop VR and AR solutions for experts and the general public to make the research field of space weather more accessible and understandable.
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.
Renewable energies, such as hydropower, are an essential backbone for a climate-friendly future. To enable better real-time monitoring and thus maintenance of hydropower infrastructure, innovative digital hydropower twins are being developed in this project.
VR and AR provide new solutions for the automotive industry, especially in the prototyping phase: Perfect digital VR twins can be used to easily check how new designs or adaptations affect the prototype.
The goal of HORA 3D is the development and maintenance of a publicly accessible web application for object-related visualization of the results of the HORA 3 research project.
An augmented reality solution for optimizing process development in laboratories and monitoring ongoing experiments supports pharmaceutical research.
Development of extended reality technologies to create virtual maneuver scenarios based on real geographic data.
COMULIS is an EU-funded COST Action that aims at fueling collaborations in the field of correlated multimodal imaging (CMI).
Visdom's hydrodynamic simulations provide precise water level predictions at any point on a water surface in the "PegelAlarm" app.
New technologies and security policy developments bring a paradigm shift for the Austrian armed forces. The use of information and communication measures entails both challenges and opportunities: for combat, security and rescue manoeuvres.
The goal of the applied research project En2VA (“Visual Analytics for Energy and Engineering Applications”) is to increase the efficiency and the quality of advanced analytics for high-dimensional data from manufacturing, engineering, and the energy sector.