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: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 126-133.
In: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 17-24.
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: Cellular Neural Networks and Their Applications. Proceedings of the 7th IEEE International Workshop.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
MTA SZTAKI, Budapest, pp. 17.
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.
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.