DEEP LEARNING COMPUTATION: A GROUNDBREAKING PERIOD POWERING AGILE AND UBIQUITOUS DEEP LEARNING ARCHITECTURES

Artificial Intelligence has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in training these models, but in utilizing them efficiently in practical scenarios. This is where machine learning inference comes into play, surfacing as a critical focus