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Multi-Partner Project: dAIEDGE - A Network of Excellence for Distributed, Trustworthy, Efficient and Scalable AI at the Edge

Alain Pagani; Jose Cano; Haralampos-G. Stratigopoulos; Aysajan Abidin; Mhd Rashed Al Koutayni; Luca Benini; Angelos Bilas; Alessandro Capotondi; Roberto Cavicchioli; Brian Clerkin; Oscar Deniz; Margaux Divernois; Baptiste Dupertuis; Dorvan Favre; Giulio Gambardella; Ander Garcia Gangoiti; Carlo Augusto Grazia; Dominik Gunzel; Jude Haris; Klodjan K. Hidri; Maick Huguenin; Manal Jammal; Paul Kling; Christos Kozanitis; Xavier Lessage; Srikanth Mandapati; Philippe Massonet; Alfio Di Mauro; Varesh Mishra; Juan Odriozola; Javier Parra Dominguez; Nuria Pazos; Viviane Potocnik; Miguel de Prado; Rohit Prasad; Spyridon Raptis; Gregoire Rebstein; Ignacio Sanudo Olmedo; Mohamed Selim; Chinmay Satish Shrivastav; Noelia Vallez; Giorgos Vasiliadis; Micaela Verrucchi; Enrico Vincenzi; Damian Vizar; Devendra Vyas; Stefan Wiehle
In: Proc. of. Design, Automation & Test in Europe (DATE-2026), IEEE Xplore, 2026.

Abstract

The dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of a dynamic European cutting-edge Artificial intelligence (AI) ecosystem under the umbrella of the European Lighthouse for AI, and to sustain the development of advanced AI. dAIEDGE fosters the exchange of ideas, concepts, and trends on cutting-edge next generation AI, creating links between ecosystem actors to help both the European Commission (EC) and the European Union (EU) and the peripheral AI constituency identify strategies for future developments in Europe. Our main objective is to advance Europe’s innovation and technology base by developing a comprehensive policy and governance approach to AI in order for the EU to become a world leader in innovation in the data economy and its applications.

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