Cristin-prosjekt-ID: 636266
Sist endret: 19. mars 2021, 22:23

Cristin-prosjekt-ID: 636266
Sist endret: 19. mars 2021, 22:23
Prosjekt

AI4EU: An AI-on-demand platform for Europe

prosjektleder

Kerstin Bach
ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

prosjekteier / koordinerende forskningsansvarlig enhet

  • Thales

Finansiering

  • TotalbudsjettNOK 200.687.293
  • EU
    Prosjektkode: 825619

Klassifisering

Vitenskapsdisipliner

Datateknologi

Emneord

Maskinlæring • Kunstig intelligens

Kategorier

Prosjektkategori

  • Anvendt forskning

Kontaktinformasjon

Telefon
+33 1 6941 59 67
Sted
Patrick Gatellier

Tidsramme

Avsluttet
Start: 1. januar 2019 Slutt: 31. desember 2021

Beskrivelse Beskrivelse

Tittel

AI4EU: An AI-on-demand platform for Europe

Populærvitenskapelig sammendrag

On 12 December the European Commission and partners of the AI4EU project signed a new grant agreement, paving the way for an AI-on-demand platform for Europe. AI4EU will mobilise the whole European AI ecosystem and already unites 79 partners in 21 countries in a network across Europe and will provide access to relevant AI resources in the EU for all users.

Eight industry-driven AI pilots will demonstrate the value of the AI-on-demand platform as a technological innovation tool. The pilots and research will showcase how AI4EU can stimulate scientific discovery and technological innovation. The AI4EU Ethics Observatory will be established to ensure the respect of human centred AI values. 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.

The AI4EU project, led by THALES, France, receives a total funding of €20 million over the next 3 years. €3 million will be allocated for Financial Support for Third Parties (FSTPs) to fund promising projects (selected through open competitive calls) exploiting the resources and services offered by the platform to foster technology transfer of AI-based solutions.

Vitenskapelig sammendrag

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.

prosjektdeltakere

prosjektleder

Kerstin Bach

  • Tilknyttet:
    Prosjektleder
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Tiago Santos Veiga

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet

Ole Jakob Mengshoel

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet
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Resultater Resultater

On the Use of Air Quality Microsensors for Supporting Decision Makers.

Bach, Kerstin; Akselsen, Sigmund; Veiga, Tiago Santos; Kalamaras, Ilias. 2020, Association for Computing Machinery (ACM). HELLAS, NTNU, TELENORVitenskapelig Kapittel/Artikkel/Konferanseartikkel

Visual analytics for exploring air quality data in an AI-enhanced IoT environment.

Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios. 2019, ACM Digital Library. NTNUVitenskapelig Kapittel/Artikkel/Konferanseartikkel
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