Training an AI model is only one stage of the workflow. Engineering teams may develop in-house models trained on simulation data, experimental results, or operational datasets, or use third-party models sourced from open-source repositories or external providers for applications such as CFD, aerodynamics, and computer vision. To make these models usable in engineering workflows, two... Continue Reading →