The Industry 4.0 National Technology Platform was established under the leadership of the Institute for Computer Science and Control (SZTAKI), Hungarian Academy of Sciences, with the participation of research institutions, companies, universities and professional organizations having premises in Hungary, and with the full support and commitment of the Government of Hungary, and specifically that of the Ministry of National Economy.
Knowledge graphs have become the most important tools of sharing and connecting research or industry information and contacts. These graphs enable, in a flexible way, the access, use and publication of data as a distributed system.
The DIGITbrain project aims to enable customised industrial products and to facilitate cost-effective distributed and localised production for manufacturing SMEs, by means of leveraging edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and by means of augmenting the concept of digital twin with a memorising capacity towards a) recording the provenance and boosting the cognition of the industrial product over its full lifecycle, and b) empowering the network of DIHs to implement the smart business model "Manufacturing as a Service".
The goal of the project is to establish a Hungarian research data repository supporting the COVID-19 pandemic related research initiatives. The research data repository serves as a data store and repository solution both for international and national uses, and provides a definite (peer-to-peer) controlled reliable data sharing platform.
The system builds on the secure data storage and well defined access rights existing in the MTA Cloud services, which is jointly maintained by SZTAKI and Wigner research institutes.
The DigiPrime H2020 consortium groups 8 research centers and 25 companies of 36 European countries that plays major role in the digitization of circular economy. SZTAKI joins in with AI and Digital Twin solutions, among other technical and scientific expertise.
NEANIAS will promote Open Science practices and play active role in the materialization of the EOSC ecosystem by efficiently engaging large scientific and professional communities; actively contributing to the technological, procedural, strategic and business development of EOSC.
Az MTA SZTAKI korábban részt vett a Vízügyi Digitális Tudástár (VDT) tervezésében és létrehozásában, amelynek eLearning-es része 40 szaktárgyat tartalmaz. A szaktárgyak elektronikus oktatását biztosító eLearning tananyagok szöveges anyagai mellett a tananyagok több ezer multimédiás elemet (képek, videók és animációk) és rengeteg matematikai képletet tartalmaznak. Az újrafelhasználhatóság miatt az elektronikus tananyagok szabványos formátumban (SCORM) készültek el.
FameLab is the world’s leading science communication competition. It spotlights the science communicators of tomorrow, who can show off their area of expertise in a truly engaging way. Cheltenham Festivals launched the first FameLab in 2005, and in 2007 partnered with British Council to take the model worldwide. Since then more than 9,000 scientists have participated from all around the globe.
The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery.
The mission of CloudiFacturing is to optimize production processes and producibility using Cloud/HPC-based modelling and simulation, leveraging online factory data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs, ultimately fostering the vision of Factories 4.0 and the circular economy. CloudiFacturing will empower over 60 European organizations (many of them being manufacturing SMEs) and will support about 20 cross-national application experiments that will primarily be selected via two Open Calls.