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Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?

Publiceringsår

2022

Upphovspersoner

Kumpulainen, Samu; Terziyan, Vagan

Abstrakt

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
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Organisationer och upphovspersoner

Jyväskylä universitet

Kumpulainen Samu

Terziyan Vagan Orcid -palvelun logo

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Konferens

Artikelstyp

Annan artikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A4 Artikel i en konferenspublikation

Publikationskanalens uppgifter

Moderpublikationens redaktörer

Longo, Francesco; Affenzeller, Michael; Padovano, Antonio

Förläggare

Elsevier

Volym

200

Sidor

140-150

Publikationsforum

71301

Publikationsforumsnivå

1

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Parallellsparad

Ja

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Nyckelord

[object Object],[object Object],[object Object]

Publiceringsland

Nederländerna

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Nej

Sampublikation med ett företag

Nej

DOI

10.1016/j.procs.2022.01.213

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja