COMPUTING WITH SMART SYSTEMS: THE CUTTING OF DEVELOPMENT DRIVING LEAN AND PERVASIVE AI ALGORITHMS

Machine learning has advanced considerably in recent years, with models matching human capabilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, arising as a key area for scientis

Machine learning has advanced considerably in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in implementing them efficiently in everyday use cases. This is where machine learning inference takes center stage, surfacing as a key area for scient