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

Machine learning 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 implementing them efficiently in real-world applications. This is where AI inference takes center stage, arising as a critical focus for experts a