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