NEURAL NETWORKS PREDICTION: THE APEX OF PROGRESS POWERING PERVASIVE AND RESOURCE-CONSCIOUS DEEP LEARNING OPERATIONALIZATION

Machine learning has made remarkable strides in recent years, with algorithms surpassing human abilities in numerous tasks. However, the main hurdle lies not just in developing these models, but in utilizing them efficiently in real-world applications. This is where machine learning inference comes into play, surfacing as a critical focus for scien