Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging cutting-edge algorithms to analyze the extent of spillover effects between distinct matrix elements. This process enhances our knowledge of how information flows within computational networks, leading to more