Matrix spillover quantification represents a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to interpret the extent of spillover effects between distinct matrix elements. This process enhances our insights of how information transmits within computational networks, leading to mor