Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a innovative solution by leveraging cutting-edge algorithms to assess the extent of spillover effects between different matrix elements. This process enhances our understanding of how information flows within neural networks, leading to i