Matrix spillover quantification measures a crucial challenge in complex learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to assess the magnitude of spillover effects between different matrix elements. This process improves our knowledge of how information transmits within mathematical networks, leading