EXECUTING WITH NEURAL NETWORKS: THE VANGUARD OF TRANSFORMATION IN STREAMLINED AND ATTAINABLE COGNITIVE COMPUTING PLATFORMS

Machine learning has advanced considerably in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference takes center stage, arising as a key area for researchers and industr