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MEDISYS MONITORATE IKE INSTITUTE OF COMPUTING SYSTEMS AND ART INTELLIGENCE

MEDISYS MONOPROSOPI IKE
Country: Greece

MEDISYS MONITORATE IKE INSTITUTE OF COMPUTING SYSTEMS AND ART INTELLIGENCE

2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 101140226
    Overall Budget: 32,600,400 EURFunder Contribution: 10,288,900 EUR

    Cynergy4MIE is a visionary project poised to revolutionize Europe's industrial landscape by bridging the gap between foundational technology layers, cross-sectional technologies, and key application areas. The project addresses the pressing need for efficient resource utilization and synergy creation across ecosystems. By actively managing requirements from various key application areas, Cynergy4MIE aims to steer developments in foundational technology layers and cross-sectional technologies, enabling unparalleled collaboration and resource optimization. This approach promises faster time-to-market, efficient resource utilization, and enhanced technological exchange between key application areas. Cynergy4MIE's strategy aligns with the EU's agenda and emphasizes urgency, resilience, technological partnerships, and cross-domain integration to champion European competitiveness. The project's long-term impact rests on embracing urgency, fostering competitive resilience, strengthening technological partnerships, harnessing ecosystem synergies, promoting cross-domain integration, advancing AI competence, prioritizing sustainability, enhancing productivity, and ensuring user-centric digitalization while forming strategic alliances. Cynergy4MIE envisions a future where emergent cyber-physical systems serve human-centric needs, drive domain convergence, and secure Europe's position as a global technology leader.

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  • Funder: European Commission Project Code: 101139892
    Overall Budget: 38,208,300 EURFunder Contribution: 11,006,200 EUR

    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.

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