Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to assess the extent of spillover effects between distinct matrix elements. This process improves our knowledge of how information transmits within neural networks, leading to more mode