MACHINE LEARNING COMPUTATION: THE APPROACHING PARADIGM IN ATTAINABLE AND STREAMLINED SMART SYSTEM INCORPORATION

Machine learning has achieved significant progress in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in deploying them effectively in real-world applications. This is where machine learning inference comes into play, emerging as a key area fo