This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
An old puzzle in particle physics has been solved: How can quantum field theories be best formulated on a lattice to ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
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