Many research issues to enable intelligent manufacturing need to be resolved, such as:
Digital twins: How do we utilize the latest active learning, optimization, compressive sensing, and control techniques to support more effective bi-directional information flows between physical and digital spaces, including how to optimize sensor placement?
Physics-informed machine learning: How do we enhance the convergence of physics-informed machine learning so that the model prediction can be useful?