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
ERCIM NEWS, 99, pp. 42-44. ISSN 0926-4981
In: Networkshop 2014, 2014. április 23-25., Pécs, Hungary.
ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA, 42, pp. 135-156. ISSN 0138-9491
In: X. Magyar Számítógépes Nyelvészeti Konferencia [Tenth Hungarian Conference on Computational Linguistics] Szegedi Tudományegyetem Informatikai Tanszékcsoport, Szeged, pp. 117-124.
In: Proceedings of the 8th ACM Conference on Recommender systems - RECSYS 2014 ACM Press, New York, pp. 13-18.
In: ISIT 2014, IEEE International Symposium on Information Theory, 2014.06.29-2014.07.04, Honolulu, US.
SIAM JOURNAL ON COMPUTING, 43 (1)., pp. 1-24. ISSN 0097-5397
LEIBNIZ INTERNATIONAL PROCEEDINGS IN INFORMATICS, 25, pp. 214-225. ISSN 1868-8969
In: 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014, 2014.04.27-2014.05.02, Toronto, Canada.