PROCESSING BY MEANS OF MACHINE LEARNING: THE SUMMIT OF BREAKTHROUGHS FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ARCHITECTURES

AI 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, surfacing as a critical focus for researchers and tech lea