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
Műszaki Szemle (ksz.)., pp. 146-149.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
Gépgyártás, 49 (1)., pp. 8-11.
In: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: ICCVG 2008. Computer vision and graphics. International conference. Warsaw, 2008. (Lecture notes in computer science 5337.).
In: 17th International Conference on Mechanical Engineering.
In: 10th Congress of the European Federation of National Associations of Orthopaedics and Traumatology.
In: Manufacturing 2008. Biannual 19th international conference. Proceedings. Budapest, 2008..