INTERPRETING BY MEANS OF NEURAL NETWORKS: A CUTTING-EDGE PERIOD ENABLING SWIFT AND WIDESPREAD COMPUTATIONAL INTELLIGENCE ARCHITECTURES

Machine learning has achieved significant progress in recent years, with systems matching human capabilities in various tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where AI inference takes center stage, arising as a primary concern for scientists an