B2 Book section
Co-development of Methodology, Applications, and Hardware in Computational Science and Artificial Intelligence (2022)
Neittaanmäki, P., Savonen, M., Periaux, J., & Tuovinen, T. (2022). Co-development of Methodology, Applications, and Hardware in Computational Science and Artificial Intelligence. In T. T. Tuovinen, J. Periaux, & P. Neittaanmäki (Eds.), Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges (pp. 3-8). Springer. Intelligent Systems, Control and Automation: Science and Engineering, 76. https://doi.org/10.1007/978-3-030-70787-3_1
JYU authors or editors
Publication details
All authors or editors: Neittaanmäki, Pekka; Savonen, Matti; Periaux, Jacques; Tuovinen, Tero
Parent publication: Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges
Parent publication editors: Tuovinen, Tero T.; Periaux, Jacques; Neittaanmäki, Pekka
ISBN: 978-3-030-70786-6
eISBN: 978-3-030-70787-3
Journal or series: Intelligent Systems, Control and Automation: Science and Engineering
ISSN: 2213-8986
eISSN: 2213-8994
Publication year: 2022
Number in series: 76
Pages range: 3-8
Number of pages in the book: 275
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-030-70787-3_1
Publication open access: Not open
Publication channel open access:
Additional information: The CSAI 2019 Conference (Computational Science and AI in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges) took place at Jyväskylä, Finland, on June 12–14, 2019.
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.
Keywords: computational science; artificial intelligence; data science; technological development; scientific progress; paradigms
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2022
Parent publication with JYU authors:
- Tuovinen, T. T., Periaux, J., & Neittaanmäki, P. (Eds.). (2022). Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges. Springer. Intelligent Systems, Control and Automation: Science and Engineering, 76. https://doi.org/10.1007/978-3-030-70787-3