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
Research in a Connected World, pp. 205-210.
In: Orvosi Informatika 2014 Pannon Egyetem, Veszprém, pp. 37-41.
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In: International workshop on science gateways. IWSG 2010. Catania, 2010..
In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), 2014.10.08-10, Luxemburg.
In: High performance computing. Second international symposium, ISHPC'99. Proceedings. Kyoto, 1999. (Lecture notes in computer science, 1615.).
In: VECPAR 2006. 7th International meeting on high performance computing for computational science. Rio de Janeiro, 2006..
Híradástechnika, 65 (5-6)., pp. 21-24.