ADDITIVE MANUFACTURING TRENDS: ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

被引：0
|
作者：
Holm, Elizabeth A. [1 ]
Williams, James C. [2 ,3 ]
Herderick, Edward D. [4 ]
Huang, Hanchen [5 ,6 ]
机构：
[1] Carnegie Mellon Univ, Mat Sci & Engn, Pittsburgh, PA 15213 USA
[2] Ohio State Univ, Mat Sci & Engn, Columbus, OH 43210 USA
[3] Univ North Texas, Denton, TX 76203 USA
[4] Ohio State Univ, Ctr Design & Mfg Excellence, Addit Mfg, Columbus, OH 43210 USA
[5] Univ North Texas, Engn, Denton, TX 76203 USA
[6] Univ North Texas, Denton, TX 76203 USA
来源：
ADVANCED MATERIALS & PROCESSES | 2020年 / 178卷 / 05期
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D O I：
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中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To share the latest trends on how additive manufacturing is impacted by new data-driven technologies, three industry leaders will be part of a panel discussion at IMAT 2020 on Artificial Intelligence/Machine Learning and Additive Manufacturing. The session, organized by the ASM Emerging Technologies Awareness Committee, will be moderated by Hanchen Huang, dean of engineering at University of North Texas. Following is an informal discussion by the panelists, which provides a glimpse into the state of AI/ML and AM and a preview of their more formal panel discussion scheduled for this fall.
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页码：32 / 33
页数：2
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