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
MTA SZTAKI, Budapest, pp. 18.
POLYGON, 9 (2)., pp. 1-13.
MTA SZTAKI, Budapest, pp. 16.
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In: Computational learning theory. 4th European conference, EuroCOLT'99. Proceedings. Nordkirchen, 1999. (Lecture notes in artificial intelligence. Subseries of Lecture notes in computer science, 1572.).
thesis.
In: Design automation day on cellular visual microprocessor. Stresa, 1999..
MTA SZTAKI, Budapest, pp. 26.
JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 23 (2-3)., pp. 221-237.