PROCESSING BY MEANS OF NEURAL NETWORKS: THE ZENITH OF BREAKTHROUGHS TOWARDS HIGH-PERFORMANCE AND UNIVERSAL AUTOMATED REASONING SYSTEMS

Machine learning has advanced considerably in recent years, with systems surpassing human abilities in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in real-world applications. This is where machine learning inference comes into play, arising as a key area for experts and innov