MACHINE LEARNING DEDUCTION: THE FOREFRONT OF GROWTH IN OPTIMIZED AND REACHABLE COGNITIVE COMPUTING ARCHITECTURES

Artificial Intelligence has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them effectively in practical scenarios. This is where inference in AI comes into play, arising as a critical focus for scientists and