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: 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR) IEEE, Piscataway (NJ), pp. 1-5.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
In: Manufacturing Systems. Digital Enterprises, Production Networks, Proceedings of the 37th CIRP International Seminar Budapest.
GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 5 (3)., pp. 271-290.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
COMPUTER-AIDED DESIGN & APPLICATIONS, 1 (1-4)., pp. 691-700.
LECTURE NOTES IN COMPUTER SCIENCE, 3003, pp. 35-46.
In: 28th Workshop of the Austrian Association for Pattern Recognition.