Klagenfurt student Sebastian Uitz plans to launch a start-up for computer game development featuring feel-good games

Sebastian Uitz has played games on the computer from a very early age. Supported by a grant from the Carinthian Economic Development Fund KWF, he is now turning this passion into his business model. Together with two colleagues, he is building an innovative computer game that revolves around a spider and its distinctive climbing and web-building abilities. This so-called “wholesome game” is expected to be available on the international games market from mid-2023 onwards. By then, the team also hopes to have set up its own company.

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.

Follow what interests you, and don’t be upset by setbacks

Harald Gietler has just finished his PhD in Technical Sciences, specializing in Information and Communications Engineering. His research work focuses on localization technology. Instead of radar or sonar, Harald uses electromagnetic fields. We talked to him about his field of research and the influence of artificial intelligence. Moreover, he also told us about the reasons why he decided to study at the University of Klagenfurt and why he would advise others to study in Klagenfurt too. Read more →

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.