COGNITIVE COMPUTING INTERPRETATION: THE ZENITH OF DISCOVERIES FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK INCORPORATION

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where machine learning inference becomes crucial, emerging as a key area for researchers an