NEURAL NETWORKS DECISION-MAKING: THE SUMMIT OF BREAKTHROUGHS IN OPTIMIZED AND REACHABLE NEURAL NETWORK ADOPTION

Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where machine learning inference takes center stage, surfacing as a key area for