MACHINE LEARNING COMPUTATION: THE APPROACHING PARADIGM IN REACHABLE AND OPTIMIZED DEEP LEARNING APPLICATION

Machine learning has advanced considerably in recent years, with systems achieving human-level performance in diverse tasks. However, the real challenge lies not just in creating these models, but in utilizing them effectively in real-world applications. This is where machine learning inference becomes crucial, arising as a critical focus for exper