INTERPRETING THROUGH DEEP LEARNING: A DISRUPTIVE PHASE ACCELERATING EFFICIENT AND ATTAINABLE ARTIFICIAL INTELLIGENCE ARCHITECTURES

Artificial Intelligence has advanced considerably in recent years, with algorithms matching human capabilities in various tasks. However, the main hurdle lies not just in developing these models, but in deploying them effectively in practical scenarios. This is where machine learning inference comes into play, arising as a primary concern for scien