Artificial Intelligence has become a major innovative force and it is one of the pillars of the fourth industrial revolution. This trend has been acknowledged also by the European Commission that has already pointed out how high-performance, intelligent, and secure networks are fundamental for the development and evolution of the multi-service Next Generation Internet (NGI). While great progress has been done during the last years with respect to the accuracy and performance of AI-enabled platforms, their integration in potentially autonomous decision-making systems or even critical infrastructures requires end-to-end quality assurance. AI@EDGE addresses the challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. 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 uses cases targeted by AI@EDGE to maximise the commercial, societal, and environmental impact. To achieve the 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.

GI-NI aims to contribute to an inclusive Europe of shared prosperity, by providing a better understanding of the changes and joint impact of three major transformations: technological progress, globalisation and migration; and offering policy and governance solutions to better equip citizens and companies, securing more equal opportunities and outcomes. We use a multidisciplinary research approach by a top-tier consortium with international stakeholder engagement throughout the project. GI-NI has five objectives: 1. Measure impacts of the three transformations on work, skills, and inequality; 2. Synthesize and analyse their interaction; 3. Foster dialogue and co-create future options with stakeholders; 4. Collect and consolidate data and produce future projections; 5. Identify policy and governance options for inclusion and equality. GI-NI generates this by: building on state-of-the-art research and other EU projects; using innovative methods; combining EU-wide and international micro- and macro-data; addressing gaps in knowledge and insights on data, joint impacts, and futures. We generate three new outcomes: 1. New scientific understanding of joint impacts of transformations; 2. Multilateral policy solutions; 3. New evidence in support of a robust EU policy strategy. GI-NI carefully disseminates and valorises results. GI-NI addresses the general priorities of the H2020 Work Programme ‘Europe in a changing world’: 1. Address concerns of EU citizens on migration and the 4th Industrial Revolution by better understanding their impact on work, skills and equality and presenting scenarios and solutions; 2.Collaborate with international partners beyond EU borders (China, India, Brazil, Singapore); 3.Contribute to sustainable prosperity by bottom-up firm-level evidence and solutions; 4.Contribute to UN’s Sustainable Development Goals 1, 5, 8, 9, 10 and 17. In conclusion, we provide insights and solutions to anticipate change for more equality in work and skills.

BEYOND4.0 aims to help deliver an inclusive European future by examining the impact of the new technologies on the future of jobs, business models and welfare. We use a multidisciplinary research approach undertaken by a top-tier consortium with stakeholder engagement throughout the project. BEYOND4.0 has five objectives: 1. Provide new, scientific insight into technological transformation; 2. Provide new, scientific insight into company strategies dealing with technological transformation; 3. Examine the impact of technological transformation on: a. quality, content, and distribution of work; b. skill needs; c. education and training; d. value creation by companies; 4. Identify policy options for: a. fiscal policy (e.g. robot taxes); b. welfare policy (e.g. basic income); 5. Identify social investment approaches and tools for inclusive growth. BEYOND4.0 generates this by: 1. Building on state-of-the-art research and other EU projects, 2. Using innovative methods, and 3. Combining historical, EU-wide, regional and company level data. We generate three new outcomes: 1. Scientific understanding of new technology impact; 2. Diagnostic and developmental tools to lever technological opportunities; 3. Evidence-based support for social and competitive EU policy strategy. BEYOND4.0 carefully disseminates and valorises results. BEYOND4.0 addresses the general priorities of the H2020 Work Programme (2018-2020) ‘Europe in a changing world - Inclusive, innovative and reflective societies’. We will: 1. Better address challenges of the 4th Industrial Revolution in context of digitisation by providing alternative policy options; 2. Contribute to equitable, sustainable prosperity through scientific evaluations, co-creation and bottom-up solutions; 3. Contribute to UN’s Sustainable Development Goals 1, 2, 5, 8 and 9. In conclusion, we provide insights and measures that help address poverty, equality, decent work, inFormulating an alternative for a low road Industry 4.0. approach.

With the development of physics and new technologies, it has proposed some new challenges for the traditional 4K pulse tube cryocooler (PTC). The next generation 4K PTC with smaller size, lower power consumption, higher efficiency and lower temperature is anticipated. This project aims to develop a new type 2K PTC with 3He-4He mixtures as working fluid. This work will not only explore its internal new cooling mechanism, but also break up the limit temperature of Stirling type PTC, which would extend the application areas for the next generation PTC, especially for the areas of space exploration and quantum computing. The proposed new type PTC will use the unique properties of 3He–4He mixtures to improve its performance. To implement this project, it need first to clarify the underlying working mechanism of mixture gas in PTC, which will provide theoretical foundations for designing this kind of PTC. And then to develop experimental system to valid theoretical model and explore its limit temperature. Specifically, the Fellow will (a) develop a full temperature range thermal-properties database of 3He-4He mixtures, to be used to CFD simulation; (b) develop a theoretical and simulation model to clarify the mechanism of cooling effect in this PTC; (c) experimental verification the numerical results and optimization of its performance. The new results of this project will help us to shape the emerging research area of next generation PTC. The Fellow is currently at forefront of international advances in 4K PTC. With support from the hosting institutions LNE/Cnam, a timely award of the Marie Skłodowska-Curie Fellowship will provide the applicant the necessary resources and access to expertise to make rapid progress in this emerging research area and become an independent researcher, ready to compete globally.

The project Accurate Roms for Industrial Applications aims at developing an array of mathematical methods for constructing predictive reduced-order models (ROMs) with guaranteed accuracy, robustness, reliability and efficiency for applications involving complex physical phenomena. New approaches to this challenge are proposed here with a focus on the Euler and Navier–Stokes equations of fluid flow, two of the most challenging continuum models with an extraordinary rich range of industrial applications. The mathematical modeling and solution of the Euler and Navier-Stokes equations is sometimes cited as the greatest challenge in continuum modeling of physical phenomena. This topic is selected as our principal focus because of its intrinsic importance, but also because the mathematical methods developed in addressing this very challenging task may well have an impact on other fields of knowledge. We plan to tackle these challenging objectives in this staff exchange program by combining the unique expertise of our extended research team whose members have made significant progress in ROM research during the past decade. This academic expertise is cross-fertilized by the exchange with knowledge intensive SMEs ans start up and well established industrial partners that will benefit from the scientific and technological results of the team and will challenge the solutions found with applications in real world problems.