PREDICTING THROUGH COMPUTATIONAL INTELLIGENCE: THE FOREFRONT OF IMPROVEMENT TRANSFORMING EFFICIENT AND REACHABLE NEURAL NETWORK TECHNOLOGIES

Artificial Intelligence has made remarkable strides in recent years, with systems matching human capabilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, surfacing as a primary c