Description
AI-powered simulation models enable R&D teams to create and test virtual models of new technologies, processes, or products before physical prototypes are made. By integrating machine learning with simulation software, these models can learn and predict outcomes under various conditions, reducing the need for costly experiments and speeding up the development cycle. This approach is valuable for industries such as automotive, aerospace, and pharmaceuticals.
