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Austria.
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ICT Research and Development in Austria

One of the most successful Austrian funding initiatives is COMET (Competence Centers for Excellent Technologies). The underlying aim of COMET is to further strengthen the cooperation between science and industry and thus promote the development of joint research competencies and the knowledge of experts as well as to commercially realize research results.

The Software Competence Center Hagenberg (SCCH) is one of the largest independent software research centers in the country in the fields of software and communications technology solutions. It plays a pioneering role in software-related technological research and development trends. Its priority areas are Process and Quality Engineering, Rigorous Methods in Software Engineering, Knowledge-Based Vision Systems, Software Analytics and Evolution and Data Analysis Systems.

Visual computing has long been a key technology for the economy and society. The leading Austrian research and development company in the field of visual computing is the VRVis Center for Virtual Reality and Visualization Research GmbH.

The largest non-university research institute in the south of Austria is Carinthian Tech Research AG (CTR), an important partner both domestically and internationally in order to transfer the latest scientific findings in the field of sensor technologies into industrial practice.

 

Focus on Complex Solutions

AI LAB combines competencies for Artificial Intelligence

Artificial Intelligence (AI), not only enables digital assistants, such as Siri and Alexa, but can also predict the optimal time to replace a critical machine part. No wonder that this computer science application area is being treated as one of the top technology trends of coming years. To combine competencies in the AI area, Johannes Kepler University is installing its own AI LAB at the Linz Institute of Technology (LIT), which will also include a center for Deep Learning. “Deep Learning” refers to the use of artificial multi-layer neuronal networks (hence: “deep”) to solve complex problems by learning from example data. Deep Learning has been made possible by novel learning processes, large volumes of data (“big data”) and the availability of high computing power.

The head of the AI LAB is Sepp Hochreiter. Born in Germany, he has worked in Linz since 2006. His inventions relating to LSTM (Long Short-Term Memory) architecture can currently be found in practically every smartphone. Deep learning methods, such as LSTM, among others, will be further developed in the LIT AI LAB. In a current project, LSTM networks are being integrated into large AI systems. The goal is to evaluate huge volumes of data with computers and – like the human brain – analyse the data with gigantic neuronal networks.

 

Please find more information on Information-Technology in Austria here.

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