Robotics & Machine Learning Daily News2024,Issue(Oct.9) :114-114.

Researchers' Work from PSL University Focuses on Machine Learning (Advanced 2d-p ixe/rbs Processing With Machine Learning At the New Aglae Facility for Ancient L ayered Objects)

Robotics & Machine Learning Daily News2024,Issue(Oct.9) :114-114.

Researchers' Work from PSL University Focuses on Machine Learning (Advanced 2d-p ixe/rbs Processing With Machine Learning At the New Aglae Facility for Ancient L ayered Objects)

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Abstract

Investigators publish new report on Ma chine Learning. According to news reporting from Paris, France, by NewsRx journa lists, research stated, "Studying without sampling the fine layering of heritage objects, usually heterogeneous in composition and with an uneven surface requir es new methodologies. Single spot analyses are not representative and may lead t o misinterpretation; thus, they are not sufficient to conclude on the layering. 2D-imaging is essential to analyze a bigger area to recover the characteristics of heritage objects." Financial supporters for this research include Foundation Group EDF, C2RMF.

Key words

Paris/France/Europe/Cyborgs/Emerging Technologies/Machine Learning/PSL University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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