AI4EOSC - AI for the European Open Science Cloud

  • contact:

    M. Sc. Elena Vollmer

    Dr. Rebekka Volk

  • project group:

    Project and Resource Management in the Built Environment

  • funding:

    European Union

  • partner:

    - Agencia Estatal Consejo Superior De Investigaciones Científicas M.P. (CSIC)

    - Ustav Informatiky, Slovenska Akademia Vied

    - Universitat Politecnica De Valencia (UPV)

    - Predictia Intelligent Data Solutions Sl

    - Laboratorio De Instrumentacao E Fisica Experimental De Particulas (LIP)

    - Istituto Nazionale Di Fisica Nucleare

    - Instytut Chemii Bioorganicznej Polskiej Akademii Nauk

    - Microstep-Mis Spol Sro

    - Wielkopolski Osrodek Doradztwa Rolniczego W Poznaniu

  • startdate:

    09/2022

  • enddate:

    08/2025

The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) aims to deliver 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). The project builds on the DEEP-Hybrid-DataCloud and EOSC computing services to provide a specialized platform, offering customizable components for tailor made deployments while adapting to evolving user needs. AI4EOSC thereby aims to increase of the number of advanced, high level, customizable services available through the EOSC portal, thus serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results.

The IIP joins this endeavour by providing a use case of thermal images depicting city infrastructure such as buildings and the ground above district heating networks. These will form a basis to test the platform’s usability and proficiency in generating new AI-based models to in this case detect thermal bridges and network leakages or false alarms.