Robotics & Machine Learning Daily News2024,Issue(Aug.22) :49-50.

Study Results from Qingdao University of Science and Technology Provide New Insi ghts into Machine Learning (Machine Learningdriven 3d Printing: a Review)

Robotics & Machine Learning Daily News2024,Issue(Aug.22) :49-50.

Study Results from Qingdao University of Science and Technology Provide New Insi ghts into Machine Learning (Machine Learningdriven 3d Printing: a Review)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting from Shandong, People’s Rep ublic of China, by NewsRx journalists, research stated, “Inrecent years, Addit. Manuf. (AM, i.e. 3D printing) has been developing rapidly as a much-needed strategic technology in the field of high-end intelligent manufacturing. However, it is constrained by the crossinfluenceof materials, processes, and algorithms, which make the print quality more varied, and fortunatelymachine learning has b rought new optimization strategies for 3D printing.”

Key words

Shandong/People’s Republic of China/As ia/Cyborgs/EmergingTechnologies/Machine Learning/Technology/Qingdao Univer sity of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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