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: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
IET COMPUTER VISION, 8 (1)., pp. 66-75. ISSN 1751-9632
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: VII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 88-94.
In: 17th International Conference on Mechanical Engineering.
In: 10th Congress of the European Federation of National Associations of Orthopaedics and Traumatology.
STUDIA UNIVERSITATIS BABES-BOLYAI SERIES INFORMATICA, LIX (1)., pp. 15-30. ISSN 1224-869X