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