DECIDING THROUGH COMPUTATIONAL INTELLIGENCE: A TRANSFORMATIVE PERIOD FOR STREAMLINED AND ATTAINABLE NEURAL NETWORK ARCHITECTURES

AI has made remarkable strides in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where AI inference becomes crucial, emerging as a primary concern for scientists and industry profe