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