NEURAL NETWORKS PROCESSING: A DISRUPTIVE CYCLE TOWARDS HIGH-PERFORMANCE AND INCLUSIVE AUTOMATED REASONING INFRASTRUCTURES

AI has advanced considerably in recent years, with models surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where inference in AI becomes crucial, arising as a critical focus for researchers and industry professionals alik