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