Neural network pruning

Neural network pruning is a technique in machine learning used to reduce the size and complexity of artificial neural networks by removing unnecessary parameters or connections. This process aims to improve efficiency, decrease computational requirements, and sometimes enhance generalization without significantly compromising accuracy.

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AI in education

AI in education refers to the integration of artificial intelligence technologies in teaching and learning processes, aiming to enhance educational outcomes and personalize experiences. It involves applications such as adaptive learning systems, automated grading, and intelligent tutoring. While AI offers significant potential benefits, it also raises challenges related to ethics, equity, and privacy.

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