Computing by means of Neural Networks: The Vanguard of Improvement in Optimized and Reachable Neural Network Architectures

Artificial Intelligence has achieved significant progress in recent years, with systems achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in implementing them optimally in real-world applications. This is where machine learning inference comes into play, emerging as a key area

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