Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging sophisticated algorithms to assess the extent of spillover effects between different matrix elements. This process boosts our insights of how information flows within computational networks, leading to more mode