“I recently had the excellent opportunity to work on a research project through a partnership between ISAE-SUPAERO and Monolith. We developed a method of building a surrogate model using mixed (continuous and categorical) variables as inputs. This method was used in several optimization processes applied to find the best properties of hybrid discontinuous composites.
The results were highly satisfactory and we had the opportunity to write a scientific paper about our research.
I hope that the partnership with ISAE SUPAERO will continue, as well as with other universities around the world, so that together they can develop great quality methods and be part of this technological revolution in the field of machine learning and big data.”
“During my ERASMUS semester in France, I had the pleasure to work with Monolith AI on a project concerning the aeroelastic coefficients of airplane wings. The easy to grasp user interface and the variety of functions to process my data made the work a very fun but also illuminating experience. If problems with the project arose, a solution was found together in a very easy-going atmosphere.”
