INTERPRETING BY MEANS OF DEEP LEARNING: A INNOVATIVE STAGE DRIVING RESOURCE-CONSCIOUS AND ACCESSIBLE MACHINE LEARNING ARCHITECTURES

Artificial Intelligence has made remarkable strides in recent years, with systems 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 machine learning inference takes center stage, arising as a critical focus