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: IEEE VAST 2009 Symposium, part of VisWeek 2009..
Mathematica Journal, 11 (2)., pp. 252-269.
In: ICRA 2009. IEEE international conference on robotics and automation. Kobe, 2009..
In: ICML 2009. 26th international conference on machine learning. Montreal, 2009. (ACM international conference proceeding series 382.).
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
Combinatorics, Probability & Computing, 18 (3)., pp. 309-333.
Springer, Berlin, pp. 207-227.
Information Processing Letters, 109, pp. 339-340.
In: Manufacturing 2008. Biannual 19th international conference. Proceedings. Budapest, 2008..
Theory of Computing Systems, 45, pp. 629-646.