Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging sophisticated algorithms to assess the level of spillover effects between distinct matrix elements. This process enhances our knowledge of how information propagates within neural networks, leading to better mode