Matrix spillover quantification measures a crucial challenge in advanced learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to analyze the level of spillover effects between separate matrix elements. This process improves our insights of how information flows within neural networks, leading to improved model