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AI and Machine Learning in Engineering: Transformative Applications and Case Studies in Computational Science

This paper explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) in engineering, emphasizing their integration with computational science to address complex challenges and optimize infrastructure. By leveraging advanced neural network architectures, such as Physics-Informed Neural Networks (PINNs) and deep ...
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Machine Learning in Computational Science.

Proposed for presentation at the Artifi cial Intelligence for Earth System Predictability (AI4ESP) in ,, 2021
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Teaching Quantum Machine Learning in Computer Science

2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), 2023
Gennaro De Luca, Yinong Chen
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