Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
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COMPUTERWORLD SZÁMÍTÁSTECHNIKA, XLII (41)., pp. 10-12.
Springer, London, pp. 125-143. ISSN 1617-7975
In: Networkshop 2011, 2011.04.27-2011.04.29, Kaposvár, Hungary.
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In: Data driven e-science. Use cases and successful applications of distributed computing infrastructures (ISGC 2010). Taipei, 2010., Wien,.
ERCIM NEWS (85)., pp. 37-38. ISSN 0926-4981
In: IPDPSW 2011. IEEE international symposium on parallel and distributed processing workshops and Phd forum, 2010-11-30, Sanghaj, Kína.