NEURAL NETWORKS INTERPRETATION: THE LOOMING FRONTIER IN REACHABLE AND STREAMLINED COGNITIVE COMPUTING ADOPTION

Machine learning has advanced considerably in recent years, with algorithms surpassing human abilities in numerous tasks. However, the true difficulty lies not just in training these models, but in utilizing them effectively in practical scenarios. This is where machine learning inference becomes crucial, surfacing as a key area for researchers and