REASONING USING INTELLIGENT ALGORITHMS: THE ZENITH OF BREAKTHROUGHS IN OPTIMIZED AND REACHABLE NEURAL NETWORK ARCHITECTURES

Machine learning has achieved significant progress in recent years, with models surpassing human abilities in diverse tasks. However, the real challenge lies not just in training these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, emerging as a critical focus fo