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Artificial Intelligence for the European Open Science Cloud

Project description

AI and ML for the good of EU research

European researchers, innovators, companies, and citizens have a place to publish, find and reuse data, tools and services for research, innovation, and educational purposes. This is the European Open Science Cloud (EOSC). This environment will offer researchers across the EU an unprecedented mix and quality of tools for use during their research and testing, as well as the ability to better communicate with research fellows. The EU-funded AI4EOSC project will further increase this toolset by developing an array of artificial intelligence (AI), machine learning (ML) and deep learning models, bundled for ease of use to researchers. These models will be customisable so users can adapt them to their needs.


The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) delivers an enhanced set of advanced services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services or provisioning of AI/ML/DL services based on serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform and services in order to provide this specialized compute platform. Moreover, AI4EOSC offers customization components in order to provide tailor made deployments of the platform, adapting to the evolving user needs.

The main outcomes of the AI4EOSC project will be a measurable increase of the number of advanced, high level, customizable services available through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results; paired with concrete contributions to the EOSC exploitation perspective, creating a new channel to support the build-up of the EOSC Artificial Intelligence and Machine Learning community of practice.


Net EU contribution
€ 999 750,00
28006 Madrid

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Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Research Organisations
Total cost
€ 999 750,00

Participants (9)