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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-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatNeittaanmäki, Pekka; Savonen, Matti; Periaux, Jacques; Tuovinen, Tero

EmojulkaisuComputational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges

Emojulkaisun toimittajatTuovinen, Tero T.; Periaux, Jacques; Neittaanmäki, Pekka

ISBN978-3-030-70786-6

eISBN978-3-030-70787-3

Lehti tai sarjaIntelligent Systems, Control and Automation: Science and Engineering

ISSN2213-8986

eISSN2213-8994

Julkaisuvuosi2022

Sarjan numero76

Artikkelin sivunumerot3-8

Kirjan kokonaissivumäärä275

KustantajaSpringer

KustannuspaikkaCham

JulkaisumaaSveitsi

Julkaisun kielienglanti

DOIhttps://doi.org/10.1007/978-3-030-70787-3_1

Julkaisun avoin saatavuusEi avoin

Julkaisukanavan avoin saatavuus

LisätietojaThe 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.


Tiivistelmä

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.


YSO-asiasanatlaskennallinen tiedetekoälydatatiedeteknologinen kehitystieteen edistyminenparadigmat


Liittyvät organisaatiot


OKM-raportointiKyllä

Raportointivuosi2022


Viimeisin päivitys 2024-03-04 klo 19:07