Robotics & Machine Learning Daily News2024,Issue(Oct.29) :108-109.

Researchers’ Work from South China University of Technology Focuses on Machine Learning (Advancing Understanding of Composition-structure-luminescent Properties In Laser Glass Through Machine Learnings)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :108-109.

Researchers’ Work from South China University of Technology Focuses on Machine Learning (Advancing Understanding of Composition-structure-luminescent Properties In Laser Glass Through Machine Learnings)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting out of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “Rare-earth (RE)-doped la ser glasses meet urgent needs in national security and scientific fields, and th eir optimization has garnered extensive attention. However, the design of these laser glasses often relies excessively on trialand- error experimentation, leadi ng to significant costs and a lack of scientific guidance.”

Key words

Guangzhou/People’s Republic of China/Asia/Cybersecurity/Emerging Technologies/Machine Learning/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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