By integrating AI and Machine Learning into engineering workflows, engineers can delegate complex optimization problems to AI algorithms, which can iterate through countless potential solutions much more quickly than humans. But the most powerful application of AI is its ability to leverage large datasets to generate invaluable insights.
AI models can be trained on real-world data, such as sensor readings or historical performance data, as well as synthetic data generated through physics-based simulations. By processing vast amounts of data, AI can generate insights that would be impossible or impractical for human engineers to obtain.
These insights help engineers answer “what-if” questions in seconds rather than hours or days, empowering them to make better decisions throughout the development process. AI can also identify patterns, trends, and relationships in the data that might be hidden or counterintuitive, providing engineers with fresh perspectives on their designs.