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: 35th Symposium on Theoretical Aspects of Computer Science, STACS 2018 Schloss Dagstuhl Leibniz-Zentrum für Informatik, Dagstuhl, pp. 27:1-27:15.
In: INFOCOM IEEE Communications Society, Honolulu (HI), pp. 1412-1420.
ALGORITHMICA, xx (x)., pp. 1-18. ISSN 0178-4617
ALGORITHMICA, 80 (2)., pp. 560-575. ISSN 0178-4617
In: 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) IEEE Computer Society, New York (N.Y.), pp. 474-484.
In: 24th ACM SIGKDD Conference on knowledge Discovery and Data Mining. 14th International Workshop on Mining and Learning with Graphs, MLG 2018, 2018.08.20-2018.08.20, London.
COMPUTATIONAL COMPLEXITY, 27 (4)., pp. 561-593. ISSN 1016-3328
In: 10th ACM Conference on Web Science, WebSci 2018 ACM Press, New York, pp. 163-172.
ACTA CYBERNETICA, 23 (4)., pp. 1039-1054. ISSN 0324-721X
NEUROSCIENCE LETTERS, 673, pp. 51-55. ISSN 0304-3940