Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to assess the magnitude of spillover effects between distinct matrix elements. This process improves our insights of how information transmits within computational networks, leadi