INTERPRETING VIA MACHINE LEARNING: THE ZENITH OF BREAKTHROUGHS TOWARDS RAPID AND UNIVERSAL COMPUTATIONAL INTELLIGENCE ECOSYSTEMS

Machine learning has achieved significant progress in recent years, with models matching human capabilities in diverse 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 primary concern for ex