MACHINE LEARNING DECISION-MAKING: THE LOOMING HORIZON IN REACHABLE AND STREAMLINED NEURAL NETWORK INCORPORATION

Machine learning has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in creating these models, but in implementing them efficiently in practical scenarios. This is where machine learning inference becomes crucial, emerging as a primary concern for scientists a