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
ERCIM News (80)., pp. 53-54.
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..
In: Innováció és fenntartható felszíni közlekedés - konferencia (IFFK-2010). Budapest, 2010..
Közlekedéstudományi Szemle, 60. (6.)., pp. 21-29.
International Journal of Foundations of Computer Science, 21 (4)., pp. 549-569.
In: Second workshop on non-classical models for automata and applications. (NCMA 2010) Jena, 2010..
Oxford Univ. Pr., Oxford, pp. 144-167.
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Information Processing Letters, 110 (20)., pp. 902-907.
Springer, Berlin, pp. 340-347.