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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Swarm algorithms can improve production planning and scheduling

Industrial companies face an enormous challenge when it comes to the highly interconnected nature of their production facilities. These exhibit complex and dynamic behaviour, as can be observed in ants, bees, fish or birds. Inspired by models found in nature, the SWILT project models entire industrial plants as swarms. Three years on, we now have the results of the project: The simulations revealed that the overall performance of a large production planning system can be improved by a percentage in the single digits, which can represent significant financial gains for businesses.

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MPEG DASH video streaming technology co-developed in Klagenfurt wins Technology & Engineering Emmy® Award

The Emmy® Awards do not only honour the work of actors and directors, but they also recognise technologies that are steadily improving the viewing experience for consumers. This year, the winners include the MPEG DASH Standard. Christian Timmerer (Department of Information Technology) played a leading role in its development. Read more →

Working towards the full exploitation of 5G potential: Research team creates “Carinthian Fog”

The 5G Playground Carinthia provides researchers with an open laboratory to explore the possibilities of this new mobile technology. There is a hitch: Although 5G facilitates the rapid transmission of large amounts of data, this data also needs to be processed. Outsourcing this computing power to a cloud data centre results in time lags. Using what is known as “Carinthian Fog”, a research team funded by the Austrian Research Promotion Agency (FFG) seeks to develop an alternative that can move data processing closer in terms of distance.

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