Robotics & Machine Learning Daily News2024,Issue(Mar.27) :41-42.

Study Findings on Machine Learning Are Outlined in Reports from University of Sh anghai for Science and Technology (Predictability of Different Machine Learning Approaches on the Fatigue Life of Additive-Manufactured Porous Titanium Structure)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :41-42.

Study Findings on Machine Learning Are Outlined in Reports from University of Sh anghai for Science and Technology (Predictability of Different Machine Learning Approaches on the Fatigue Life of Additive-Manufactured Porous Titanium Structure)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news originating from Shanghai, People's R epublic of China, by NewsRx editors, the research stated, 'Due to their outstand ing mechanical properties and biocompatibility, additively manufactured titanium porous structures are extensively utilized in the domain of medical metal implants.'

Key words

University of Shanghai for Science and Technology/Shanghai/People's Republic of China/Asia/Cyborgs/Emerging Technol ogies/Light Metals/Machine Learning/Titanium

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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