NEURAL NETWORKS EXECUTION: THE APPROACHING PARADIGM REVOLUTIONIZING ACCESSIBLE AND OPTIMIZED NEURAL NETWORK INFRASTRUCTURES

AI has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference becomes crucial, emerging as a key area for researchers and innova