DEDUCING VIA NEURAL NETWORKS: THE LEADING OF IMPROVEMENT FOR UBIQUITOUS AND RESOURCE-CONSCIOUS COMPUTATIONAL INTELLIGENCE OPERATIONALIZATION

AI has made remarkable strides in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for researchers and innov

AI has advanced considerably in recent years, with systems matching human capabilities 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 machine learning inference takes center stage, surfacing as a primary concern for scientists and tech lead