Matrix spillover quantification measures a crucial challenge in advanced learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to interpret the magnitude of spillover effects between distinct matrix elements. This process improves our knowledge of how information flows within computational networks, leadin