A4 Article in conference proceedings
Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other? (2022)


Kumpulainen, S., & Terziyan, V. (2022). Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?. In F. Longo, M. Affenzeller, & A. Padovano (Eds.), 3rd International Conference on Industry 4.0 and Smart Manufacturing (200, pp. 140-150). Elsevier. Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.01.213


JYU authors or editors


Publication details

All authors or editorsKumpulainen, Samu; Terziyan, Vagan

Parent publication3rd International Conference on Industry 4.0 and Smart Manufacturing

Parent publication editorsLongo, Francesco; Affenzeller, Michael; Padovano, Antonio

Conference:

  • International Conference on Industry 4.0 and Smart Manufacturing

Place and date of conferenceLinz, Austria17.-19.11.2021

Journal or seriesProcedia Computer Science

ISSN1877-0509

eISSN1877-0509

Publication year2022

Volume200

Pages range140-150

Number of pages in the book1918

PublisherElsevier

Publication countryNetherlands

Publication languageEnglish

DOIhttps://doi.org/10.1016/j.procs.2022.01.213

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/80271


Abstract

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI to perform various specific cognitive activities better than humans do. However, what about the Artificial General Intelligence (AGI), associated with the generic ability of a machine to perform consciously any task that a human can? Do we have many samples of the AGI research adopted by Industry 4.0 and used for smart manufacturing? In this paper, we report the systematic mapping study regarding the AGI-related papers (published during the five-year period) to find out whether AGI is giving up its positions within AI as an attractive tool to address the industry needs. We show what the major concerns of the AGI academic community are nowadays and how the AGI findings have been already or could be potentially applied within the Industry 4.0. We have discovered that the gap between the AGI studies and the industrial needs is still high and even has some indications to grow. However, some AGI-related findings have potential to make real value in smart manufacturing.
https://ai.it.jyu.fi/ISM-2021-AGI.pptx


Keywordsartificial intelligenceintelligent systemsindustry

Free keywordsArtificial general intelligence; Industry 4.0; systematic mapping study; Google distance


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating1


Last updated on 2024-03-04 at 19:05