Predicting through Automated Reasoning: The Zenith of Discoveries of Enhanced and Attainable Neural Network Architectures

Machine learning has achieved significant progress in recent years, with algorithms matching human capabilities in numerous tasks. However, the real challenge lies not just in creating these models, but in utilizing them optimally in real-world applications. This is where inference in AI comes into play, surfacing as a key area for researchers and

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