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: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), 2014.10.08-10, Luxemburg.
ERCIM NEWS, 99, pp. 42-44. ISSN 0926-4981
In: Networkshop 2014, 2014. április 23-25., Pécs, Hungary.
In: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) IEEE, Rijeka, pp. 275-278.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 123-135.
In: Uses of open data within government for innovation and efficiency, 2014.06.30-2014.07.01, Samos.
In: Theory and Practice of Digital Libraries -- TPDL 2013 Selected Workshops Springer International Publishing, Heidelberg, pp. 89-100. ISSN 1865-0929
In: Euro-Par 2014: Parallel Processing Workshops Lecture Notes in Computer Science (8806) Springer, Cham, pp. 559-569.
JOURNAL OF GRID COMPUTING, xx (xx)., pp. 1-18. ISSN 1570-7873