The AI4EOSC (AI for the European Open Science Cloud) project is aiming to deliver an enhanced set of services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications. This is to be reached by increasing the service offered in the EU landscape by expanding the European Open Science Cloud (EOSC) ecosystem.
The services will make use of advanced features such as distributed, federated and split learning; provenance metadata; event-driven data processing services or provisioning of services based on serverless computing.
The project will focus on tools to provide AI, ML DL services by integrating into it real-life use cases to co-design the project proposal and drive our integration activities. AI4EOSC bases its activities on the technological framework delivered by the DEEP-Hybrid-DataCloud H2020 project. The DEEP platform (provided through the EOSC portal 2) is a production-ready system that is being effectively used by researchers in the EU to train and develop machine learning and deep learning models. A special emphasis is made in ensuring that all the research outputs and sub-products (data, models, metadata, publications, etc.) adhere to the FAIR data and research principles.
The AI4EOSC consortium has been assembled to ensure a skills-balanced and complementary set of partners with a strong research, development, technological and innovation background. The consortium gathers several of the most active institutions in the EOSC in terms of development, implementation, deployment and operation of distributed pan-European e-infrastructures, experienced and highly innovative SMEs with a huge potential in the AI field, and a wide experience in technological endeavors. All partners involved in the project activities have wide experience in software development. As such, several academic partners have developed key components used in the production EU e-Infrastructures.
The consortium is comprised of 10 partners including academic – the project coordinator CSIC, PSNC, LIP, KIT, UPV, IISAS, INFN, industrial – Predictia, MicroStep-MIS and WODR. The role of UPV is to:
- Coordinate the work package related to architecture co-design and portfolio of services
- Lead the tasks related to requirements elicitation for co-design; automated PaaS deployments over multi cloud resources; event-driven serverless approach for scalable AI as a Service solution and, finally, composite AI through serverless function orchestration.
- Participate in the starte of the art landscaping and technology scouting and venturing; architecture definition and co-design based on requirements, and software, services and applications quality assurance, among other tasks.