We discuss techniques for joining simulation and machine learning to solve critical problems that can’t rely on the availability of data alone.
Industrial AI has promised dramatic ROI but seen more limited successes due to lack of necessary data. Meanwhile, simulation is a powerful tool already showing value, but in limited use cases due to challenges with speed and robustness. We address these challenges and introduce a path to getting the best of both.
Industrial applications demand performance that today’s models can’t meet. AI and physics based simulation are powerful, but each have limitations. What if we could draw on the best of both?