Matrix spillover quantification measures a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to interpret the magnitude of spillover effects between different matrix elements. This process enhances our knowledge of how information propagates within neural networks, leading to more m