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: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
ERCIM NEWS (106)., pp. 55-56. ISSN 0926-4981
In: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) IEEE, Piscataway, pp. 1-5.
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.
In: Innováció és fenntartható felszíni közlekedés, IFFK 2016 Magyar Mérnökakadémia (MMA), Budapest, pp. 170-175.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 27-32.
MTA SZTAKI, Budapest, pp. 17.
In: 12th IEEE International Conference on Control and Automation, ICCA 2016 IEEE, New York, pp. 707-713.