D4CM Experiment
Ce.S.I., together with PAMA S.p.A., has carried out and successfully completed the D4CM experiment as a sub-granted project of the EU H2020 project KYKCLOS 4.0
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.
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.
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).
