Sisältö, joissa tagi Research infrastructure.

AARC TREE

The AARC TREE project takes the successful and globally recognised “Authentication and Authorisation for Research Collaboration” (AARC) model and its flagship outcome, the AARC Blueprint Architecture (BPA), as the basis to drive the next phase of integration for research infrastructures.

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CONVERGE

The main objective of the CONVERGE project is the development of an innovative toolset combining radio and vision based communications and sensing technologies to enable an emerging area of research aligned with the motto “view-to-communicate and communicate-to-view".

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E-TASC-HEL

The Eurofusion Advanced Computing Hub, E-TASC-HEL, is focused on open access, data management, data analysis tools, artificial intelligence and verification, validation and uncertainty quantification, and, in particular, the improvement of scientific software for fusion research.

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eLTER EnRich

eLTER EnRich aims at catalysing the eLTER ESFRI process towards a successful conclusion, balancing between the changed framework conditions since 2020 and the vision and role in the European system of Research Infrastructures (RIs) identified by ESFRI.

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eLTER PLUS

This research infrastructure project deals with ecological research by providing observational data from the environment in hundreds of stations across Europe and enriching this data with economic, sociological and earth observation data.

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FIN-CLARIAH

FIN-CLARIAH is the Finnish research infrastructure (RI) for Social Sciences and Humanities (SSH) comprising of two components, FIN-CLARIN and DARIAH-FI, that provide SSH researchers access to diverse collection of documents, research data and tools. The aim of the ongoing development project is to significantly upgrade the SSH infrastructural support.

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GN5-1

GN5-1 aims to provide faster, more resilient and secure connectivity infrastructure and collaboration services to enable researchers and students’ access to applications that support evidence-based and effective collaboration across virtual research teams, worldwide.

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GreenNLP

The GreenNLP project addresses the two major building blocks in modern natural language processing (NLP): pre-trained neural language models and neural sequence-to-sequence translation models. The project focuses on advancing techniques that produce models with a small environmental footprint. In addition, it will document and freely distribute knowledge needed to train the NLP models in a manner that is mindful of the environment.

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HIECSS

The Academy of Finland’s Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems (HiECSs) brings together key Finnish academic experts on electrical machines, drives, mechanical transmission, and related system analysis, with the aim of elevating the modelling and analysis capabilities and methodologies eventually leading to the emergence of highly sustainable solutions and products necessary for a cleaner future.

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INAR RI

INAR RI is an umbrella research infrastructure, coordinating the distributed national nodes of European environmental research infrastructures (ICOS, ACTRIS, eLTER and AnaEE) in Finland. The components of INAR RI study the atmosphere, biosphere and their interactions.

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NOMAD CoE

Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science and an urgent requirement of basic materials science, engineering and industry. NOMAD2 will develop a new level of materials modelling, enabled by upcoming HPC exascale computing.

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Real4Reg

Based on highly relevant use cases from regulatory practice and across the product lifecycle, Real4Reg develops AI-based data-driven methods and tools for the assessment of medicinal products.

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Robocoast EDIH

Robocoast EDIH supports the manufacturing industry to use digital technology to promote sustainable growth and competitiveness (Industry 4.0) by offering a one-stop access to EDIH services and networks of European best digital experts.

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