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