For two intensive weeks, several researchers gathered at the Maison Cocagne to participate in the TRAIL WORKSHOP PARIS 2021. Initiated by the TRAIL Institute (Trusted AI Labs), this workshop aimed to establish a tradition of collaborative work in R&D by bringing together, in one place, a group of project leaders, researchers and experienced students, in order to collaborate on 8 major challenges for Wallonia using artificial intelligence.

  • Challenge 1 (Cenaero): Hybridization of models and data towards augmented engineering (use case: additive manufacturing);
  • Challenge 2 (Cenaero): Physics-based models and monitoring data with transfer learning for large systems (use case: energy performance of large-scale buildings);
  • Challenge 3 (CETIC): Secure, reliable and privacy-preserving AI.
  • Challenge 4 (CETIC): Supporting operational research on optimisation through machine learning;
  • Challenge 5 (Multitel): Weakly supervised machine learning – Towards more general AI;
  • Challenge 6 (Multitel): Reliable AI for critical systems;
  • Challenge 7 (Sirris): Towards an intelligent human-centric environment powered by AI, with machines, robots, sensors and actuators in an Industry 5.0 perspective (zero defect, zero accident, zero fire goals);
  • Challenge 8 (Sirris): How to achieve “first time good” and “consistent product quality” throughout the product development and manufacturing cycle with AI support systems?

This workshop was supported by the Service public de Wallonie – Recherche under grant n°2010235 “ARIAC BY DIGITALWALLONIA4.AI” and by Wallonie-Bruxelles International.

Scientific Committee

  • Christine Decaestecker, ULB 
  • Jean-Christophe Deprez, CETIC
  • Jean-François Delaigle, SIRRIS
  • Bruno Dumas, UNamur
  • Thierry Dutoit, UMons
  • Benoît Frenay, UNamur
  • Pierre Geurts, ULiège
  • Tom Lenaerts, ULB
  • Benoît Macq, UCLouvain
  • Pierre Manneback, UMons
  • Jean-Yves Parfait, MULTITEL
  • Caroline Sainvitu, CENAERO
  • Marc Van Droogenbroeck, ULiège 
  • Michel Verleysen, UCLouvain