Matrix spillover quantification evaluates a crucial challenge in advanced learning. AI-driven approaches offer a novel solution by leveraging powerful 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 better model