Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?
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
Julkaistu sarjassa
Procedia Computer SciencePäivämäärä
2022Tekijänoikeudet
© 2022 The Authors. Published by Elsevier B.V.
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
...
Julkaisija
ElsevierKonferenssi
International Conference on Industry 4.0 and Smart ManufacturingKuuluu julkaisuun
3rd International Conference on Industry 4.0 and Smart ManufacturingISSN Hae Julkaisufoorumista
1877-0509Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/104552861
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Artificial general intelligence : a systematic mapping study
Kumpulainen, Samu (2021)Yleisen tekoälyn tutkimuskenttä on viime vuosina kasvattanut kiinnostustaan, mutta aihealueen monimutkaisuuden ja jakautuneisuuden vuoksi uusien tutkijoiden voi olla hankala päästä siihen sisään. Tässä tutkielmassa ... -
AI Ethics in Industry : A Research Framework
Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka (RWTH Aachen University, 2019)Artificial Intelligence (AI) systems exert a growing influence on our society. As they become more ubiquitous, their potential negative impacts also become evident through various real-world incidents. Following such early ... -
Explainable AI for Industry 4.0 : Semantic Representation of Deep Learning Models
Terziyan, Vagan; Vitko, Oleksandra (Elsevier, 2022)Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems ... -
Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks
Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti; Ojalainen, Anniina (Springer, 2020)Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service ... -
Design Systems for Intelligent Technology
Myllylä, Mari; Karvonen, Antero; Koskinen, Hanna (AHFE international, 2024)Intelligent technology seems poised to emerge with unprecedented force across many domains of human activity. Advanced technologies (e.g. artificial intelligence (AI)–based applications and services) hold great promise to ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.