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
In: IWAW 2008. 8th international web archiving workshop. Aarhus, 2008..
In: ALT 2008. 19th international conference on algorithmic learning theory. Budapest, 2008. (Lecture notes in artificial intelligence 5254.).
BMC Bioinformatics, 9 (137)., pp. 1-14.
In: TMCE 2008. Tools and methods of competitive engineering international symposium. Izmir, 2008..
Indagationes Mathematicae New Series, 19 (2)., pp. 177-188.
In: ISSAC 2008. Proceedings of the 21st international symposium on symbolic and algebraic computation. Hagenberg, 2008..
In: Proc. Airweb 2008 in conjunction with WWW 2008.
Springer, Berlin, pp. 466.
Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sec. Computatorica, 28, pp. 213-233.
Acta Mathematica Hungarica, 119 (3)., pp. 219-226.