NEURAL NETWORKS INTERPRETATION: THE BLEEDING OF GROWTH TRANSFORMING REACHABLE AND STREAMLINED COGNITIVE COMPUTING INTEGRATION

Machine learning has advanced considerably in recent years, with systems matching human capabilities in diverse tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in practical scenarios. This is where AI inference becomes crucial, surfacing as a primary concern for researchers and industry