Eric Mottay from h-nu spoke alongside David Bruneel (LASEA) and Jean-Philippe Colombier (Université Jean Monnet) at the June 20 Dihnamic webinar, hosted by ADI Nouvelle-Aquitaine.
Eric shared hands-on examples from h-nu’s work: using machine learning to predict depth and surface quality in laser machining of silicon chips. The talk also covered model generalization, data constraints, and how to move from proof of concept to real life.