DECIDING BY MEANS OF NEURAL NETWORKS: THE CUTTING OF DEVELOPMENT DRIVING LEAN AND PERVASIVE MACHINE LEARNING ARCHITECTURES

Machine learning has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where AI inference takes center stage, arising as a key area for experts and tech leaders alike