AI4EU

A European AI On Demand Platform and Ecosystem

Abstract

Artificial Intelligence is a disruptive technology of our times with expected impacts rivalling those of electricity or printing. Resources for innovation are currently dominated by giant tech companies in North America and China. To ensure European independence and leadership, we must invest wisely by bundling, connecting and opening our AI resources. AI4EU will efficiently build a comprehensive European AI-on-demand platform to lower barriers to innovation, to boost technology transfer and catalyse the growth of start-ups and SMEs in all sectors through Open calls and other actions. The platform will act as a broker, developer and one-stop shop providing and showcasing services, expertise, algorithms, software frameworks, development tools, components, modules, data, computing resources, prototyping functions and access to funding. Training will enable different user communities (engineers, civic leaders, etc.) to obtain skills and certifications. The AI4EU Platform will establish a world reference, built upon and interoperable with existing AI and data components (e.g. the Acumos open-source framework, QWT search engine..) and platforms. It will mobilize the whole European AI ecosystem and already unites 80 partners in 21 countries including researchers, innovators and related talents. Eight industry-driven AI pilots will demonstrate the value of the platform as an innovation tool. In order to enhance the platform, research on five key interconnected AI scientific areas will be carried out using platform technologies and results will be implemented. The pilots and research will showcase how AI4EU can stimulate scientific discovery and technological innovation. The AI4EU Ethical Observatory will be established to ensure the respect of human centred AI values and European regulations. Sustainability will be ensured via the creation of the AI4EU Foundation. The results will feed a new and comprehensive Strategic Research Innovation Agenda for Europe.

Project details

Unibo Team Leader: Michela Milano

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

Coordinator:
Thales Services Sas(France)

Other Participants:
Office National D'Etudes Et De Recherches Aerospatiales-Onera (France)
France Digitale (France)
Technische Universitat Munchen (Fg Obstbau) (Germany)
Foundation for Research and Technology - HELLAS (Greece)
Fondazione Bruno Kessler (Italy)
"Sapienza" Universita' Di Roma (Italy)
Fundacion Cartif (Spain)
Smartrural Sll (Spain)
University Of Orebro Jps (Sweden)
University Of Leeds (United Kingdom)
Loupe 16 Ltd. (United Kingdom)
European Organisation For Security Scrl (Belgium)
Abb Inc. (Canada)
Agi Research Sro (Czech Republic)
Universite' De Paris 1 - Pantheon - Sorbonne (France)
Université Grenoble Alpes (France)
Fraunhofer Ipa (Germany)
Eötvös Loránd Tudomanyegyetem - Eötvös Loránd University (Hungary)
Università  Cà  Foscari di VENEZIA (Italy)
ALMA MATER STUDIORUM - Università di Bologna (Italy)
Cineca - Consorzio Interuniversitario (Italy)
Department of Physics, Norwegian, University of Science and Technology (NTNU) (Norway)
Simula Research Laboratory As (Norway)
Forum Virium Helsinki Oy (Finland)
Cea-Commissariat A L'Energie Atomique Et Aux Energies Alternatives (France)
Sorbonne Universite (France)
Institut Mines-Telecom (France)
Institut National De Recherche En Informatique Et En Automatique (France)
Thomson Licensing (France)
Women in AI (France)
Budapest University Of Technology And Economics - Budapesti Műszaki És Gazdaságtudományi Egyetem (Hungary)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento - IST-ID (Portugal)
Agencia Estatal Consejo Superior De Investigaciones Cientificas (Csic) (Spain)
Universitat Politecnica De Catalunya (Spain)
Unilever U.K. Central Resources Limited (United Kingdom)
Thales SA (France)
Wavestone Advisors (France)
Siemens Ag (Germany)
Tilde Sia (Latvia)
TECHNICAL UNIVERSITY KOSICE-Technická Univerzita v Košiciach (Slovak Republic)
Deutsches Forschungszentrum Fur Kunstliche Intelligenz Gmbh (Dfki) (Germany)
Allianz SE (Germany)
Aristotele University Of Thessaloniki (Greece)
National University of Ireland Galway (Ireland)
Università  degli Studi di SIENA (Italy)
Technische Universiteit Delft - Delft University Of Technology (Netherlands)
Universidade De Coimbra (Portugal)
Pg Wconsulting (Switzerland)
Universität Wien (Austria)
Bureau De Recherches Geologiques Et Minieres (France)
Sap Se (Germany)
Technische Universität Berlin (Germany)
Industrial Data Space Ev (Germany)
Centre For Research And Technology Hellas (Greece)
Telenor Asa (Norway)
Atos Spain Sa (Spain)
EIT Digital IVZW (Belgium)
Vrije Universiteit Brussel (Belgium)
Fundingbox Research Aps (Denmark)
Thales Alenia Space France (France)
Cnrs (France)
Hub France IA (France)
Grassroots Arts And Research Ug (Haftungsbeschrankt) (Germany)
National And Kapodistrian University Of Athens (Greece)
National Center For Scientific Research Demokritos (Greece)
University College Cork (Ireland)
Consiglio Nazionale Delle Ricerche (Italy)
Upm Universidad Politecnica De Madrid (Spain)
Barcelona Supercomputing Center - Centro Nacional De Supercomputacion (Spain)
Know-Center Gmbh Research Center For Data-Driven Business & Big Data Analytics (Austria)
Orange Sa (France)
Qwant (France)
Blumorpho Sas (France)
Smile (France)
Dlr Deutsches Zentrum Fur Luft Und Raumfahrt E.V. (Germany)
Kit Karlsruhe Institute Of Technology (Germany)
Philips Electronics Nederland B.V. (Netherlands)
Jozef Stefan Institute (Slovenia)
Fondation De L'Institut De Recherche Idiap (Switzerland)

Total Eu Contribution: Euro (EUR) 19.999.997,38
Project Duration in months: 36
Start Date: 01/01/2019
End Date: 31/12/2021

Cordis webpage
Project website

Industry, innovation and infrastructure This project contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825619 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825619