FINALITY

saFe learNIng for lArge scaLe InTerconnected sYstems
IMDEA Networks is beneficiary of this project
  • Financed by: European Union (Horizon Europe) 101168816
  • Duration: March 2025 to February 2029
  • Contact: Vincenzo MANCUSO, Principal Investigator for IMDEA Networks

FINALITY is a MSCA Doctoral Networks project funded by the European Union in the call HORIZON-MSCA-2023-DN-01-01. The MSCA Doctoral Networks program aims to train entrepreneurial, innovative and resilient doctoral candidates, able to face current and future challenges and to convert knowledge and ideas into products and services for economic and social benefit.

In particular, FINALITY project evolves the theoretical computer science curriculum focusing on the mastery of prompt and safe learning techniques for interconnected systems. The trainee team will develop and integrate innovative methodological tools specialized for AI-intensive resource allocation, particularly in the context of large-scale critical infrastructures for communication and computing. They will combine AI methods that are safe by respecting system boundaries and are prompt in adapting to the environmental changes. Throughout their research training, the FINALITY candidates will prioritize the principles of fairness and computational parsimony of AI methods. The FINALITY doctoral team will be supported by a world-class team of academic and industrial advisors, who work routinely on all the tools used in AIbased RA, advancing their theoretical foundations and their application in the industrial domain. They possess extensive experience in training doctoral students, and an excellent track record of joint research activities across the consortium. International exposure and dissemination are ensured by an extra-EU supervisory board.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101168816.

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