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: Learning for Adaptable Visual Systems (LAVS '04). Proceedings of the Satellite workshop ICPR 2004, Cambridge.
In: 9th International Conference on Quality of Multimedia Experience, QoMEX 2017 IEEE, [s. l.] - Nemzetközi, pp. 1-6.
In: Advanced Control Strategies for Social and Economic Systems. Proceedings of ACS' 04 IFAC Multitrack Conference Vienna.
In: 25th European Signal Processing Conference (EUSIPCO) EURASIP, Kos, pp. 1604-1608.
LECTURE NOTES IN COMPUTER SCIENCE, 3058, pp. 83-93.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca..
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
In: Professional Practice in AI. Proceedings of the 18th IFIP World Computer Congress 2004, Toulouse.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..