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: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 19-32.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 111-122.
In: 9th IEEE International Symposium on Applied Computational Intelligence and Informatics ; SACI 2014 IEEE Hungary Section, Timisoara, pp. 135-138.
In: Orvosi Informatika 2014 Pannon Egyetem, Veszprém, pp. 37-41.
In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), 2014.10.08-10, Luxemburg.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 33-50.
In: 2014 IEEE Fourth International Conference on Big Data and Cloud Computing IEEE, Sydney, pp. 269-270.
In: Euro-Par 2014 Lecture Notes in Computer Science (8806) Springer, Cham, pp. 51-62.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 97-109.
In: Science Gateways for Distributed Computing Infrastructures Springer, Cham, pp. 271-286.