Project description
Architecture for developing large-scale revolutionary AI solutions
The rapid advancement of artificial intelligence, machine learning, and edge technology has created a critical need for improved infrastructure, tools, and solutions, particularly for large-scale AI applications that require enhanced edge learning. The EU-funded EdgeAI-Trust project aims to develop a domain-independent architecture, along with hardware and software solutions, that will support these AI advancements. Additionally, the project seeks to increase acceptance and trust in AI solutions, benefiting multiple sectors. The project will also focus on establishing sustainable supply and production chains and promoting critical automation technologies, particularly in the agriculture and production sectors.
Objective
EdgeAI-trust aims to develop a domain-independent architecture for decentralized edge AI along with HW/SW edge AI solutions and tools, which enable fully collaborative AI and learning at the edge. The edge AI technologies address key challenges faced by Europe's industrial and societal sectors such energy efficiency, system complexity and sustainability. EdgeAI-trust will enable large-scale edge AI solutions that enable interoperability, upgradeability, reliability, safety, security and societal acceptance with a focus on explainability and robustness. Toolchains will provide standardized interfaces for developing, optimizing and validating edge AI solutions in heterogeneous systems.
The generic results will be instantiated for automated vehicles, production and agriculture, thus offering innovation potential not only in the generic HW/SW technologies and tools, but also in the three target domains. These technological innovations are complemented with business strategies and community building, ensuring the widespread uptake of the innovations in Europe. EdgeAI-trust will establish sustainable impact by building open edge AI platforms and ecosystems, with a focus on standardization, supply chain integrity, environmental impact, benchmarking frameworks, and support for open-source solutions.
The consortium consists of major suppliers and OEMs encompassing a broad range of application domains, supported by leading research and academic organizations.
By embracing the opportunity to specialize in Edge AI, Europe can maintain its position in the global context, especially as it aligns with decentralized and privacy-driven European policy. Furthermore, as AI is closely connected with the Green Deal, this project can provide proper solutions for environmental issues. Ultimately, the project will enable AI to be connected with other strong sectors and industries, improving the innovation process and decision-making in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesecologyecosystems
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
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Programme(s)
Funding Scheme
HORIZON-JU-IA - HORIZON JU Innovation ActionsCoordinator
85055 Ingolstadt
Germany
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Participants (47)
88046 Friedrichshafen
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85579 Neubiberg
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82024 TAUFKIRCHEN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70567 STUTTGART
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
51147 Koln
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57076 Siegen
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59063 Hamm
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77652 Offenburg
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1040 Wien
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1040 Wien
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8020 Graz
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9500 Villach
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8010 Graz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
38000 Grenoble
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13790 Rousset
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91190 Orsay
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
51100 Reims
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
51270 Montmort Lucy
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06400 Cannes
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
51100 Reims
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20864 Agrate Brianza
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12048 Sommariva Del Bosco Cn
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
97015 MODICA
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10010 Colleretto Giacosa To
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08034 Barcelona
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08028 BARCELONA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08174 SANT CUGAT DEL VALLES
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46003 VALENCIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08034 Barcelona
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46022 Valencia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
29016 Malaga
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46022 Valencia
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4000 Roskilde
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2860 Hedensted
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3001 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1030 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
34394 Sisli, Istanbul
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34885 ISTANBUL
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34730 Istanbul
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
06800 Ankara
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
144 52 ATHENS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
71004 Heraklion
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91031 MISILISCEMI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1006 Riga
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3106 LIMASSOL
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3101 LIMASSOL
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Ljubljana
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Partners (4)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8006 Zurich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8401 Winterthur
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
38000 Grenoble
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.