Semantic Scholar Open Access 2018 650 sitasi

Industrial Artificial Intelligence for industry 4.0-based manufacturing systems

Jay Lee Hossein Davari Jaskaran Singh Vibhor Pandhare

Abstrak

Abstract The recent White House report on Artificial Intelligence (AI) (Lee, 2016) highlights the significance of AI and the necessity of a clear roadmap and strategic investment in this area. As AI emerges from science fiction to become the frontier of world-changing technologies, there is an urgent need for systematic development and implementation of AI to see its real impact in the next generation of industrial systems, namely Industry 4.0. Within the 5C architecture previously proposed in Lee et al. (2015), this paper provides an insight into the current state of AI technologies and the eco-system required to harness the power of AI in industrial applications.

Topik & Kata Kunci

Engineering

Penulis (4)

Jay Lee

Hossein Davari

Jaskaran Singh

Vibhor Pandhare

Format Sitasi

APA MLA BibTeX

Lee, J., Davari, H., Singh, J., Pandhare, V. (2018). Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. https://doi.org/10.1016/J.MFGLET.2018.09.002

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 650×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.MFGLET.2018.09.002
Akses: Open Access ✓