INTERPRETING BY MEANS OF NEURAL NETWORKS: A REVOLUTIONARY CYCLE DRIVING AGILE AND PERVASIVE COMPUTATIONAL INTELLIGENCE SOLUTIONS

Machine learning has made remarkable strides in recent years, with systems achieving human-level performance in various 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