Two research teams from the University of Klagenfurt remain in the running to be “Clusters of Excellence”

As recently announced by the Austrian Science Fund FWF, eleven teams have reached the final stage of selection for “Cluster of Excellence” funding. The decisions on Austria’s future beacons of basic research will be made in early 2023. The eleven consortia include the “Multi-drone Systems” cluster initiated and led by the University of Klagenfurt, as well as the “Bilateral Artificial Intelligence” project, which feature scientists from Klagenfurt on their Board of Directors.

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There, and yet not there: Research project seeks to bring about new interactions between humans or machines in cyberspace

For some years now, we have become accustomed to communicating with each other online via Zoom, FaceTime & Co. Even surgical procedures and industrial manufacturing can now be performed remotely. A research project, recently approved by EU Horizon Europe, aims to advance the next generation of immersive telepresence technologies: In the process, the boundaries between the virtual and physical worlds are set to become ever more blurred, and the technology is expected to make it much easier for us to “be” in a different location without actually having to travel there.

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Enjoying the creativity of mathematics

Research mathematics is creative. One of those people with a particular affinity for imaginative puzzle-solving is Sarah Jane Selkirk. The South African came to Klagenfurt in 2020 as a doctoral student and is now a member of the doc.funds doctoral school “Modeling – Analysis – Optimization of discrete, continuous, and stochastic systems”.

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Improve and accelerate how we learn from health data: New approach reduces machine learning time by 60%

Electronic health records, like ELGA in Austria, provide an overview of laboratory results, diagnostics and therapies. Much could be learned from the personal and private data of individuals – with the help of machine learning – for use in the treatment of others. However, the use of the data is a delicate matter, especially when it comes to diseases that carry a stigma. Researchers involved in the EU project “Enabling the Big Data Pipeline Lifecycle on the Computing Continuum (DataCloud)” are working to make new forms of information processing suitable for medical purposes. Dragi Kimovski and his colleagues recently presented their findings in a publication.

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