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..
In: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) IEEE, Piscataway, pp. 1-5.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
In: 24th European Signal Processing Conference, EUSIPCO 2016 IEEE, New York, pp. 2161-2165.
MTA SZTAKI, Budapest, pp. 17.
ERCIM NEWS (106)., pp. 55-56. ISSN 0926-4981
In: ECCTD '97. Proceedings of the 1997 European conference on circuit theory and design. Budapest, 1997. Vol. 2..
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 44 (1)., pp. 86-89.
In: ICPR '98. 14th international conference on pattern recognition. Proceedings. Brisbane, 1998 Vol. 2..