DECIDING BY MEANS OF NEURAL NETWORKS: THE BLEEDING OF EVOLUTION ACCELERATING LEAN AND UBIQUITOUS PREDICTIVE MODEL ARCHITECTURES

AI has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them effectively in practical scenarios. This is where machine learning inference comes into play, arising as a key area for experts and industry

Artificial Intelligence has made remarkable strides in recent years, with systems achieving human-level performance in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in practical scenarios. This is where machine learning inference takes center stage, surfacing as a key are