News on the Department of Artificial Intelligence and Cybersecurity published by the University of Klagenfurt

For smarter AI: AI researchers meet for symposium and summer school at the University of Klagenfurt from 7 to 11 July 2025

The University of Klagenfurt will host not one but two major events for researchers in the field of artificial intelligence in early July: A total of 43 doctoral students will work on new approaches at the Summer School run by the Cluster of Excellence ‘BilAI’. At the same time, the university will also serve as venue for AIRoV 2025 AI & Vision, the joint symposium of the Austrian Society for Artificial Intelligence (ASAI) and the Austrian Association for Pattern Recognition (OAGM).

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Smarter recommendation systems that really know what I might need

How do you teach a computer to think? Not just calculating, remembering or combining information – but real, creative, human-like thinking? This is precisely the question that drives Ali Kookani, a doctoral student in the FWF-funded Cluster of Excellence ‘Bilateral AI’. His research focuses on smarter recommendation systems that are significantly better than previous ones at generating suggestions for which film I might want to watch next or which product I might want to buy.

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Efficient and secure: better systems for enhancing cybersecurity

Chitchanok Chuengsatiansup moved from the University of Melbourne to the University of Klagenfurt at the end of 2024 with the aim of continuing her work on optimised cryptographic codes that accomplish several goals: While maintaining the security offered by the design, the computational resources required to execute cryptographic code and the overheads to integrate such code into different systems should be minimal.

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Online trainer corrects individually tailored movements

Since the pandemic, working out at home in front of the computer has become a habit for many. But are these exercises, be they for rehabilitation or athletic purposes, being performed correctly? Roman Dorrek is developing software that can identify whether individual movements are being performed in the most beneficial way possible.

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