International Journal Of Artificial Intelligence & Data Science [IJAIDS]

Physics-informed intelligence engines are artificial intelligence systems that leverage on fundamental physical principles to reinforce. Reasoning and control in the real world. Training AI systems with canonical physics and simulation models lets for science-Level reasoning, resulting in accurate predictions and solid decision making. This strategy connects the two worlds of data-driven AI and in-depth expertise, improving interpretability and generalization within multifaceted ecosystems.