Ce.S.I., together with PAMA S.p.A. has started the D4CM experiment as sub-granted project of the EU H2020 project KYKCLOS 4.0
Objectives: the goal of this experiment is to develop, implement and validate a robust and confident CPS platform that includes AI-based machine Errors Detection (ED) and Adaptive compensation (AC) models which rely on Deep Learning (DP) techniques.
Approach:AI/DP models are developed with an holistic (from Design to Renovation stages) and modular approach that enables a quick and effective retraining and re-deployment in case of reuse of equipment. The experiment, as a sub-granted project of the EU H2020 KYKCLOS 4.0 project, aims to apply AI methodologies to foster Circular Manufacturing.
Participants: 
The D4CM experiment has indirectly received funding from the European Union’s Horizon 2020 research and innovation action programme, via the KYKLOS4.0 Open Call #1 issued and executed under the KYKLOS4.0 project (Grant Agreement no. 872570).
