COMPUTING WITH NEURAL NETWORKS: A REVOLUTIONARY PERIOD IN OPTIMIZED AND REACHABLE DEEP LEARNING FRAMEWORKS

Machine learning has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where inference in AI takes center stage, arising as a critical focus for scientist