INTERPRETING VIA MACHINE LEARNING: THE VANGUARD OF TRANSFORMATION IN STREAMLINED AND ATTAINABLE COGNITIVE COMPUTING SOLUTIONS

AI has achieved significant progress in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in real-world applications. This is where inference in AI comes into play, emerging as a primary concern for scientists and industry p