Matrix spillover quantification evaluates a crucial challenge in complex 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 enhances our insights of how information flows within computational networks, leading to impr