NEURAL NETWORKS PREDICTION: THE APEX OF PROGRESS POWERING AGILE AND PERVASIVE DEEP LEARNING ARCHITECTURES

AI has advanced considerably in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in practical scenarios. This is where machine learning inference comes into play, emerging as a key area for scientists and innovators ali