EngineeringComputer Science

Jay Lee, Hossein Davari, Jaskaran Singh, Vibhor Pandhare

2018.10.1Manufacturing Letters

DOI: 10.1016/j.mfglet.2018.09.002

tlooto Summary

An insight is provided into the current state of AI technologies and the eco-system required to harness the power of AI in industrial applications within the 5C architecture previously proposed in Lee et al. (2015).

Abstract

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.

Citation format

LEE, Jay, et al. Industrial artificial intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters, 2018.