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will rely on interdisciplinary approaches among i) mathematical sciences (graph theory, optimization) ii) computer science (iterative learning theory), iii) traffic flow theory (network conservation laws
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these applications can leverage the power of deep learning to represent and process high-dimensional data effectively and encode natural laws and symmetries. The Artificial Intelligence and Machine Learning
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