Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to interpret the level of spillover effects between distinct matrix elements. This process enhances our understanding of how information transmits within neural networks, leading to m