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    Special Issue: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 005::page 50301-1
    DOI: 10.1115/1.4054673
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As envisioned by Industry 4.0, the next generation of smart factories and warehouses will highly depend on the collaboration between human and artificial intelligence (AI). This symbiotic partnership can augment human capabilities by providing suggestions, assistance, and explanations as needed—or can utilize direct or indirect human feedbacks in a human-in-the-loop learning framework to enhance AI learning capabilities. This Special Section aims to harvest the latest efforts in fundamental methodologies as well as their applications in human–AI partnership with specific applications for next-generation factories encompassing the design process to manufacturing, production, and inspection.
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      Special Issue: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories

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    date accessioned2022-08-18T12:52:39Z
    date available2022-08-18T12:52:39Z
    date copyright6/27/2022 12:00:00 AM
    date issued2022
    identifier issn1530-9827
    identifier otherjcise_22_5_050301.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287018
    description abstractAs envisioned by Industry 4.0, the next generation of smart factories and warehouses will highly depend on the collaboration between human and artificial intelligence (AI). This symbiotic partnership can augment human capabilities by providing suggestions, assistance, and explanations as needed—or can utilize direct or indirect human feedbacks in a human-in-the-loop learning framework to enhance AI learning capabilities. This Special Section aims to harvest the latest efforts in fundamental methodologies as well as their applications in human–AI partnership with specific applications for next-generation factories encompassing the design process to manufacturing, production, and inspection.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSpecial Issue: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories
    typeJournal Paper
    journal volume22
    journal issue5
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4054673
    journal fristpage50301-1
    journal lastpage50301-2
    page2
    treeJournal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 005
    contenttypeFulltext
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