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: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
In: ICT4JUSTICE workshop. Thessaloniki, 2008..
In: VCM 2013 - The ISPRS Workshop on 3D Virtual City Modeling, 2013-05-28 - 2013-05-31, Saskatchewan, Kanada.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: Képaf 2013, 2013 január 29-február 1, Bakonybél, Magyarország.
In: ICPR 2008. 19th international conference on pattern recognition. Tampa, 2008..
MTA SZTAKI, Budapest.
In: Lecture Notes in Computer Science, 2013-07-16 - 2013-06-18, Szentpétervár, Oroszország.
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3363-3368.
MTA SZTAKI.