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


Last updated on 2022-19-08 at 20:16