VERGE will tackle evolution of edge computing from three perspectives: “Edge for AI”, “AI for Edge” and security, privacy and trustworthiness of AI for Edge. “Edge for AI” defines a flexible, modular and converged Edge platform that is ready to support distributed AI at the edge. This is achieved by unifying lifecycle management and closed-loop automation for cloud-native applications, MEC and network services, while fully exploiting multi-core and multi-accelerator capabilities for ultra-high computational performance. “AI for Edge” enables dynamic function placement by managing and orchestrating the underlying physical, network, and compute resources. Application-specific network and computational KPIs will be assured in an efficient and collision-free manner, taking Edge resource constraints in to account. Security, privacy and trustworthiness of AI for Edge are addressed to ensure security of the AI-based models against adversarial attacks, privacy of data and models, and transparency in training and execution by providing explanations for model decisions improving trust in models. VERGE will verify the three perspectives through delivery of 7 demonstrations across two use cases - XR-driven Edge-enabled industrial B5G applications across two separate Arçelik sites in Turkey, and Edge-assisted Autonomous Tram operation in Florence. VERGE will disseminate results to academia, industry and the wider stakeholder community through liaisons and contributions to relevant standardization bodies and open sources, a series of demonstrations showing progression through TRLs and by creating an open dataspace for enabling public access to the datasets generated by the project.

Travel Wise's will support the shift from traffic management in silos to intermodal traffic orchestration by putting in place a methodology, a roadmap and the related technologies to allow for i) sharing of information between air and rail operators, ii) intermodal collaborative decision making both in nominal situations and in case of disruptions, iii) optimisation of passenger experience. Among others, Travel Wise will exploit the experience acquired in the air sector while building the Single European Sky and the European ATM architecture (EATMA) to share knowledge with the rail sector and support the progressive results of the System Pillar created by ERJU in the building of the European Single Railway Area and in the definition of the Rail System Architecture. To create an intermodal ecosystem and following the evolution of the ATM and rail sectors and their Master Plans, Travel Wise will exploit the full benefits of digitalisation, define a roadmap towards a common air-rail data space, extend the Collaborative Decision Making process to multimodality, develop integrated operations plans, and design, develop, implement and validate technical solutions for air-rail integrated traffic management in both nominal and non-nominal situations. This is guaranteed by the presence in the consortium of relevant members of both Joint Undertakings and a wide representation of end users ranging from airport and rail infrastructure managers, air and rail operators, air navigation service providers (ANSPs), other transport mode operators, relevant technology providers and research centres.