Collection
Beyond traditional AI: the impact of Machine Learning on Scientific Computing
This topical collection aims to attract high-quality contributions to investigate both the role of Machine Learning and Deep Learning methodologies in applied mathematics and how Scientific Computing can benefit from learning paradigms.
Editors
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Francesco Piccialli
University of Naples Federico II
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Salvatore Cuomo
University of Naples Federico II
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Boumediene Hamzi
Imperial College London
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Jan Hesthaven
École Polytechnique Fédérale de Lausanne
