Interpreting by means of Neural Networks: The Leading of Evolution driving Lean and Pervasive Machine Learning Architectures

Artificial Intelligence has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in real-world applications. This is where machine learning inference takes center stage, surfacing as a

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