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.
Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est.
Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet ut et voluptates repudiandae sint et molestiae non recusandae.
The goal of the Academic Program is to provide engineers the right tools to use for their engineering problems and data. Academic users have the option to be mentioned in an academic case study, our blog or being the co-author of a research paper considering the project is a success.
You apply by filling out this form (in progress...). If you meet the criteria for the Monolith Academic Plan, you can apply and we will get back to you within 3 weeks and let you know if you have been accepted to the program.
No. You can also apply for the program if you're a researcher or PhD student.
We give talks to classes under specific circumstances and plan to provide educators and classes with dedicated training material. For further questions and presentation/demo requests, please reach out to email@example.com.
Side Note: We only accept a few requests per quarter due to the high workload.
For all other questions regarding the Monolith Academic Program, please send an email to firstname.lastname@example.org.
No. Due to our high workload, we will give you access to the platform and let you learn on an autonomous basis.
However, there will be self-learning tools to make sure you know how to use the platform and a short intro to Machine Learning for engineers.
No. Monolith is a cloud-based software which runs on Macs, PCs, Linux, and Chromebooks. All you need is a decent internet connection.
Absolutely! If you have been accepted to the program, there will be a 30 minute sync at half time with Joël Henry and Jousef Murad to check your project and if you're on the right track.
Monolith is free for students, researchers, and educators who have been accepted to the program!