DECIDING VIA ARTIFICIAL INTELLIGENCE: THE BLEEDING OF EVOLUTION DRIVING LEAN AND UBIQUITOUS MACHINE LEARNING APPLICATION

Machine learning has advanced considerably in recent years, with models achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, emerging as a critical focus for s