COMPUTATIONAL INTELLIGENCE INTERPRETATION: THE ZENITH OF BREAKTHROUGHS FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with algorithms surpassing human abilities in numerous tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, arising as a critical focus fo