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.
In: Proceedings of the 8th ACM Conference on Recommender systems - RECSYS 2014 ACM Press, New York, pp. 13-18.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 83-96.
In: Euro-Par 2014 Lecture Notes in Computer Science (8806) Springer, Cham, pp. 109-120.
In: Euro-Par 2014 Lecture Notes in Computer Science (8806) Springer, Cham, pp. 38-49.
JOURNAL OF LOGIC LANGUAGE AND INFORMATION, 23 (4)., pp. 481-492. ISSN 0925-8531
In: Euro-Par 2014: Parallel Processing Workshops Lecture Notes in Computer Science (8805) Springer, Cham, pp. 275-286.
In: 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014, 2014.04.27-2014.05.02, Toronto, Canada.
ACM TRANSACTIONS ON ALGORITHMS, 11 (1)., pp. 4. ISSN 1549-6325
In: 2014 IEEE Fourth International Conference on Big Data and Cloud Computing IEEE, Sydney, pp. 269-270.