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Create a trustworthy edge AI ecosystem including an AI architecture, components, orchestration techniques, development tools and a community enabling the real-time collaboration of heterogeneous edge devices, while maintaining the highest levels of security, scalability, sustainability and robustness.
Having assembled some of Europe’s best partners from industry, research, and academia, EdgeAI-Trust will deliver key innovations in technical areas for edge AI, including:
The EdgeAI-Trust project aims to leverage cutting-edge technologies to tackle challenges associated with ensuring the trustworthy and real-time orchestration of critical applications using decentralized edge AI within the Functional Safety Continuum. The project also seeks to validate the effectiveness of these technologies through real-world use cases.
The architecture will support the development of collaborative AI-based systems with orchestration, upgradeability, manageability, reliability, real time, safety, security, and energy efficiency. The architecture will support a continuum of heterogeneous AI-based algorithms and devices along standard APIs for interoperability and trusted exchange. This will range from sensor-actuation, large scale device-connected systems, edge processing units to the cloud. While the architecture is domain-independent, it will enable domain-specific instantiations for trustworthy collaborative AI systems.
Develop the next generation decentralized HW/SW edge AI technologies, with a particular focus on safety-critical and security related systems. The technologies will support fully collaborative AI by allowing heterogeneous devices to learn, adapt at the edge to cognitive reasoning tasks. Decentralisation of resources and processes among different entities/devices enable dynamic reconfiguration of processes in a resource constrained environment.
Considering the upcoming EU AI Act, here the focus is on explainability, reliability, safety, security and robustness of edge AI solutions. We will achieve that by focusing on (i) rigorous plausibility checks, (ii) monitoring of AI decisions and anomalies, (iii) explanation of situational awareness, and (iv) also include reliability and fault tolerance in a dynamic zero trust environment.
The goal is to provide methodology and tools that enable the optimization and validation of AI systems based on the EdgeAI-Trust architecture and solutions from the development platforms to the finished product. Automation supports developers by taking care of the constraints (like accuracy, latency, resource constraints and reliability) due to the limitations of the edge AI systems. By that, rapid improvement and deployment of Edge AI-based systems is provided.
Achieve large-scale, sustainable impact through the EdgeAI EDEM (EdgeAI Ecosystem Monitoring) platform while delivering a complete market analysis and an exploitation mechanism for financial sustainability and economic leadership in the global marketplace.
Dynamically monetize web-enabled processes through client-based action items. Authoritatively grow goal is oriented markets through ompletely generate technically sound content without robust users.
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The work plan has been designed according to the familiar V-cycle model. After working out detailed requirements and system designs in WPs 1 and 2, the main research and implementation work is conducted in WPs 3 and 4, before an integration phase in WP5 and the final validation and verification actions in WP6 are conducted. In parallel and over the whole duration of the project, WPs 7 and 8 cover dissemination, exploitation, standardization and project management respectively.
