Abstract
In this introductory chapter of the book, we outline the development of computational science, artificial intelligence, and data science as part of science paradigm development. Computational science and artificial intelligence have mainly been developed separately during the past 60 years. We present a short overview of the history and notice a delay between the development of hardware and software. Development has historically been unbalanced, as hardware development has allowed the growth of computing ability without necessitating the use of more efficient computing methods. Moreover, we outline artificial intelligence terminologies and derivative technologies, and represent some challenges related to scientific computing and artificial intelligence at a practical level. We also consider potential future trends in the co-development of the methodology of the fields.
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Neittaanmäki, P., Savonen, M., Periaux, J., Tuovinen, T. (2022). Co-development of Methodology, Applications, and Hardware in Computational Science and Artificial Intelligence. In: Tuovinen, T., Periaux, J., Neittaanmäki, P. (eds) Computational Sciences and Artificial Intelligence in Industry. Intelligent Systems, Control and Automation: Science and Engineering, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-70787-3_1
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DOI: https://doi.org/10.1007/978-3-030-70787-3_1
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