Physics-Constrained AI Trustworthiness

In industrial control systems, pure data-driven black-box AI is unreliable because it cannot guarantee physical feasibility. By embedding physical mechanisms directly into the AI architecture and training the model to learn optimal strategies within physical constraints, AI can graduate from providing advisory recommendations to autonomous decision-making and closed-loop control.

Read the daily articles behind this idea on the Chinese edition.