AI@EDGE will develop a connect-compute fabric – specifically leveraging the serverless paradigm – for creating and managing resilient, elastic, and secure end-to-end slices. Such slices will be capable of supporting a diverse range of AI-enabled applications. Privacy-preserving machine learning and trusted networking techniques will be used to ensure each stakeholder can use the platform without disclosing sensitive information. To achieve its goal, AI@EDGE targets significant breakthroughs in two fields: (i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and (ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices capable of supporting a diverse range of AI-enabled network applications. In AI@EDGE European industries, academics and innovative SMEs commit to achieve an EU-wide impact on industry-relevant aspects of the AI-for-networks and networks-for-AI paradigms in beyond 5G systems. Cooperative perception for vehicular networks; Secure, multi-stakeholder AI for IIoT; Aerial infrastructure inspections and In-flight entertainment, are the four use cases targeted to maximise the commercial, societal, and environmental impact of the project.

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