AUTOMATED REASONING DEDUCTION: THE BLEEDING OF GROWTH DRIVING UBIQUITOUS AND RESOURCE-CONSCIOUS NEURAL NETWORK REALIZATION

Machine learning has advanced considerably in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in real-world applications. This is where inference in AI takes center stage, emerging as a critical focus for scientists