COMPUTING BY MEANS OF NEURAL NETWORKS: THE VANGUARD OF IMPROVEMENT IN OPTIMIZED AND REACHABLE DEEP LEARNING ALGORITHMS

Machine learning has achieved significant progress 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 optimally in real-world applications. This is where AI inference comes into play, arising as a primary concern for experts and