Robotics & Machine Learning Daily News2024,Issue(Aug.2) :55-56.

Data on Machine Learning Detailed by Researchers at University of Shanghai for S cience and Technology (Detecting Irradiation Defects In Materials: a Machine Lea rning Approach To Analyze Helium Bubble Images)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :55-56.

Data on Machine Learning Detailed by Researchers at University of Shanghai for S cience and Technology (Detecting Irradiation Defects In Materials: a Machine Lea rning Approach To Analyze Helium Bubble Images)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Additivemanufacturin g technology has received significant attention in the field of nuclear material s due to itspotential to improve the radiation resistance of materials and comp onents. In our research, we proposeto use 304 L stainless steel fabricated by S elective Laser Melting (SLM) as a replacement for traditionalcasting due to its superior performance and optimized manufacturing technique.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Helium/Machine Learning/University of Shan ghai for Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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