Abstract
Significant advancements have been made in the field of artificial intelligence in recent years. Thus, artificial intelligence has also become of greater interest in areas other than computer science, such as physics and engineering. This chapter provides a brief overview of the recent developments in artificial intelligence. Furthermore, several ideas of different approaches using deep learning in computational mechanics are introduced. When transferring the artificial intelligence approaches from computer science to physics and engineering, the main obstacle is the lack of data. This difficulty is overcome by enforcing the underlying physics in the learning algorithms. Finally, the chapter presents the outline of the book to orientate the reader.
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Kollmannsberger, S., D’Angella, D., Jokeit, M., Herrmann, L. (2021). Introduction. In: Deep Learning in Computational Mechanics. Studies in Computational Intelligence, vol 977. Springer, Cham. https://doi.org/10.1007/978-3-030-76587-3_1
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DOI: https://doi.org/10.1007/978-3-030-76587-3_1
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