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Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...
This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...
Software estimation is a vital yet challenging project management activity. Various methods, from empirical to algorithmic, have been developed to fit different development contexts, from plan-driven ...
Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.
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