NEURAL NETWORKS PREDICTION: THE FUTURE LANDSCAPE DRIVING PERVASIVE AND RESOURCE-CONSCIOUS NEURAL NETWORK EXECUTION

Artificial Intelligence has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern f