EXECUTING WITH NEURAL NETWORKS: A TRANSFORMATIVE CYCLE TOWARDS RAPID AND UNIVERSAL AUTOMATED REASONING ECOSYSTEMS

Machine learning has achieved significant progress in recent years, with algorithms surpassing human abilities in diverse tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in real-world applications. This is where AI inference takes center stage, arising as a key area for researchers and