COMPUTING WITH NEURAL NETWORKS: THE VANGUARD OF GROWTH FOR EFFICIENT AND REACHABLE NEURAL NETWORK ADOPTION

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in various tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern for re