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: Eurographics 2007. Prague, 2007..
MTA SZTAKI, Budapest.
In: ACIVS 2009. 11th international conference on advanced concepts for intelligent vision systems. Bordeaux, 2009. (Lecture notes in computer science 5807.).
In: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996..
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: ICPR '98. 14th international conference on pattern recognition. Proceedings. Brisbane, 1998 Vol. 2..
In: Communications in Computer and Information Science, 2012-09-03 - 2012-09-06, Bonn, Németország.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 8 (1)., pp. 79-85. ISSN 1868-5137
Wiley, Chichester, pp. 331-343.
In: Lecture Notes in Computer Science, 2013-07-16 - 2013-06-18, Szentpétervár, Oroszország.