Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to interpret the magnitude of spillover effects between different matrix elements. This process improves our understanding of how information flows within mathematical networks, leading t