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.

EcoMobility will support European industry and cities in transitioning from isolated and static transportation means towards a service-centric, connected mobility ecosystem by sharing data and services across involved stakeholders. The project will enable and simplify cooperative development, deployment, operation and life cycle management of connected adaptive end-to-end mobility solutions in a sustainable manner. EcoMobility will • establish devops practices within the supply chain with continuous and customized cloud-based addition and improvement of mobility services • support contract-based runtime coupling of mobility services within edge/cloud-based service for deployment of AI solutions, coupled with monitoring, analysis and coordination of vehicles, transportation infrastructures and people • deliver reliable & enhanced vision, perception, including HD maps, and localization systems for safe, connected, and automated vehicles • deliver customized and improved fail-operational ADAS systems reflecting technology capabilities of heterogeneous vehicles and protecting vulnerable road users • provide energy-aware control and scheduling of electric vehicles including smart Battery Management Systems (BMS) and coordination with other transportation means • contribute to increased public acceptance of electrified autonomous vehicles and bridge gaps between technological advancements and legal and regulatory frameworks. The demonstrators within EcoMobility will showcase the project’s findings and capabilities for the end-to-end sustainable mobility ecosystem with impact on improved trust, safety, security, efficiency and ecology of mobility solutions to a level appropriate for mass-market deployment. Emerging innovations will leverage the expertise of world-renowned industrial and research partners within the mobility value chain, giving Europe a competitive edge in a growing market with direct contributions to the European goal of zero road fatalities by 2050