Testimonials Bachelor Applied Informatics

Tag Archive for: BA-AINF

Klaus Schöffmann wins Lifelog Search Challenge 2023

Multimedia researchers around the world are seeking ways to improve the search for content in large image and video pools. Similar to a Grand Slam tournament in tennis, the Video Browser Showdown or the Lifelog Search Challenge is an important competition geared specifically towards these research teams. The world’s best teams compete to see who is the quickest and most accurate at finding what they are looking for. Klaus Schöffmann, associate professor at the Department of Information Technology at the University of Klagenfurt, emerged as the winner of the Lifelog Search Challenge on 12 June 2023.

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Many small software components add up to a single application: Novel methods aim to simplify the detection of side effects caused by changes

Large-scale software applications that combine all their functions in a single component are becoming less common. Instead, we increasingly see applications that are made up of smaller components called microservices. Researchers involved in a newly launched project are working on improving the detection of undesired side effects caused by changes in individual microservices.

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“What astonishes me is how easily we humans are persuaded by content that is generated by a machine.”

Many of those following the current media discourse are left with a sense of alarmism: The message seems to be that advances being made in the development of artificial intelligence could cause the systems to spiral out of control. At the same time, experts are voicing concern about the potential influence of these technologies on the stability of democracies, given that images can be manipulated in a matter of seconds. We asked Wolfgang Faber, professor at the Department of Artificial Intelligence and Cybersecurity, for his take on the new AI tools and the state of research.

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As adaptable, robust and scalable as an anthill: New algorithms for more efficient factories

Production plants are highly complex systems. Identifying the optimal sequence of machines and production steps not only saves a lot of money, but also contributes to energy and resource efficiency. Using Infineon Technologies Austria AG as an example, researchers at Lakeside Labs GmbH and the University of Klagenfurt are developing new algorithms to improve the efficiency of factories.

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