REASONING WITH SMART SYSTEMS: A GROUNDBREAKING CHAPTER ACCELERATING LEAN AND PERVASIVE MACHINE LEARNING FRAMEWORKS

Machine learning has advanced considerably in recent years, with algorithms surpassing human abilities in various tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where machine learning inference takes center stage, arising as a key area for scientists and te

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the real challenge lies not just in training these models, but in implementing them optimally in real-world applications. This is where machine learning inference comes into play, surfacing as a critical focus for