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: Lecture Notes in Computer Science, 2011-12-13 - 2011-12-15, Pisa, Olaszország.
In: Communications in Computer and Information Science, 2012-09-03 - 2012-09-06, Bonn, Németország.
In: 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 IEEE, Piscataway (NJ), pp. 1-6.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
SPIE Optical Engineering, 51 (11)., pp. 117002-1.
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 192-198.
MTA SZTAKI, Budapest, pp. 17.