DECIDING VIA MACHINE LEARNING: THE CUTTING OF DEVELOPMENT ACCELERATING PERVASIVE AND RESOURCE-CONSCIOUS ARTIFICIAL INTELLIGENCE DEPLOYMENT

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where machine learning inference becomes crucial, surfacing as a key area for rese