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
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In: IFAC symposium on fault detection, supervision and safety for technical processes. SAFEPROCESS '97. Preprints. Hull, 1997. Vol. 1..
In: Advances in model-based predictive control. Conference proceedings. Oxford, 1993. Vol. 1..
MTA SZTAKI, Budapest, pp. 13.
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In: IFAC workshop on on-line-fault detection and supervision in the chemical process industries. Posters. Lyon, 1998..
In: LSS'98. Large scale systems: theory and applications. 8th IFAC/IFORS/IMACS/IFIP symposium. Preprints. Rio Patras, 1998..