Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging powerful algorithms to analyze the extent of spillover effects between separate matrix elements. This process enhances our insights of how information transmits within neural networks, leading to more model p