Data Collection and Generation for AI Models
In comparison to classical AI-based models, 3D Deep Learning based predictive models use raw, 3D CAD and CAE data, and are completely agnostic to any specific parametrization of designs. This allows the same model to handle and be trained across many geometrical parametrizations. Ultimately, any simulation result, coming from any CAE team, can be re-used inside these models, making them much more flexible and thus, drastically reducing the effort needed to collect the data.