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

Best Performer Awards, Roland Mittermeir Award, and Doctoral Thesis Award of the Faculty of Technical Sciences 2024/25

On 5 November, the Best Performer Awards 2024/25, the Roland Mittermeir Prize 2024 and, for the first time, the Dissertation Prize 2024/25 were presented at the University meets Industry: Talents for Carinthia event.

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New research project: Artificial Intelligence that thinks logically

How can systems solve complex problems such as creating a duty roster in a hospital or a time and room schedule at a university – while remaining clear and easy to follow? In the project ‘EX3: EXplain and EXploit Knowledge EXtracted to Improve ASP’, funded by the Austrian Science Fund FWF, Alice Tarzariol will be working on new methods for solving these kinds of issues more efficiently and accurately with the help of Artificial Intelligence.

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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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