AI4EUROPE

AN AI ON-DEMAND PLATFORM TO SUPPORT RESEARCH EXCELLENCE IN EUROPE

Abstract

Europe is implementing an AI strategy that seeks to create a research environment characterised by scientific excellence and consistent with the fundamental ethical values of its citizens. Part of this strategy foresees the consolidation of ongoing research activities through the creation and maintenance of an AI on-demand Platform that will act as a community resource for the research community, facilitating experimentation, knowledge sharing and the development of state-of-the-art solutions and technologies. AI4Europe builds on the work of AI4EU and multiple supporting projects (ICT-48/ICT-49), creating an open, impartial, and collaborative Platform, built by the European research community according to their needs. Equipped with the necessary hardware, the Platform will offer interoperable services, data, and tools from several related communities and provide solutions to facilitate research productivity, reproducibility, and collaboration. AI4Europe will establish and support mechanisms to foster exchange between academia and industry and ensure the Platform reaches out to and engages with the next generation of researchers and those in widening countries. The project will develop and implement a business model that will ensure the long-term technical and financial structures providing sustainability for the Platform beyond the lifetime of the project. AI4Europe will support the community to create a tool that will help position Europe as the place where the very best AI research is conducted.

Project details

Unibo Team Leader: Michela Milano

Unibo involved Department/s:
Dipartimento di Informatica - Scienza e Ingegneria

Coordinator:
University College Cork(Ireland)

Other Participants:
ALMA MATER STUDIORUM - Università di Bologna (Italy)

Total Eu Contribution: Euro (EUR) 8.992.797,00
Project Duration in months: 42
Start Date: 01/07/2022
End Date: 31/12/2025

Cordis webpage

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070000 This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070000