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