COMPUTING BY MEANS OF NEURAL NETWORKS: THE FOREFRONT OF IMPROVEMENT DRIVING LEAN AND PERVASIVE MACHINE LEARNING FRAMEWORKS

Artificial Intelligence has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the real challenge lies not just in creating these models, but in utilizing them effectively in everyday use cases. This is where machine learning inference becomes crucial, emerging as a primary concern for scie

Machine learning has made remarkable strides in recent years, with models surpassing human abilities in numerous tasks. However, the real challenge lies not just in training these models, but in utilizing them efficiently in practical scenarios. This is where machine learning inference comes into play, surfacing as a key area for experts and indust