Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective

At GE Research, we are combining “physics” with artificial intelligence and machine learning to advance manufacturing design, processing, and inspection, turning innovative technologies into real products and solutions across our industrial portfolio. This article provides a snapshot of how this phy...

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Veröffentlicht in:	MRS bulletin 2019-07, Vol.44 (7), p.545-558
Hauptverfasser:	Aggour, Kareem S., Gupta, Vipul K., Ruscitto, Daniel, Ajdelsztajn, Leonardo, Bian, Xiao, Brosnan, Kristen H., Chennimalai Kumar, Natarajan, Dheeradhada, Voramon, Hanlon, Timothy, Iyer, Naresh, Karandikar, Jaydeep, Li, Peng, Moitra, Abha, Reimann, Johan, Robinson, Dean M., Santamaria-Pang, Alberto, Shen, Chen, Soare, Monica A., Sun, Changjie, Suzuki, Akane, Venkataramana, Raju, Vinciquerra, Joseph
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive manufacturing Aircraft Airplane engines Applied and Technical Physics Artificial intelligence Augmented reality Big Data Characterization and Evaluation of Materials Composite materials Costs Design Energy Materials Industrial equipment Inspection International conferences Machine learning Materials Engineering Materials Science Nanotechnology Semantic web Semantics Software Superalloys The Machine Learning Revolution in Materials Research
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Zusammenfassung:	At GE Research, we are combining “physics” with artificial intelligence and machine learning to advance manufacturing design, processing, and inspection, turning innovative technologies into real products and solutions across our industrial portfolio. This article provides a snapshot of how this physical plus digital transformation is evolving at GE.
ISSN:	0883-7694 1938-1425
DOI:	10.1557/mrs.2019.157