DECIDING THROUGH COMPUTATIONAL INTELLIGENCE: A TRANSFORMATIVE CYCLE FOR STREAMLINED AND REACHABLE MACHINE LEARNING ALGORITHMS

Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the true difficulty lies not just in training these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference becomes crucial, emerging as a key area for