Robotics & Machine Learning Daily News2024,Issue(Mar.18) :70-71.DOI:10.1063/5.0172202

New Machine Learning Data Has Been Reported by a Researcher at Osaka University (Automation of etch pit analyses on solid-state nuclear track detectors with mac hine learning for laser-driven ion acceleration)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :70-71.DOI:10.1063/5.0172202

New Machine Learning Data Has Been Reported by a Researcher at Osaka University (Automation of etch pit analyses on solid-state nuclear track detectors with mac hine learning for laser-driven ion acceleration)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Osaka, Japa n, by NewsRx correspondents, research stated, “Solid-state nuclear track detecto rs (SSNTDs) are often used as ion detectors in laser-driven ion acceleration exp eriments and are considered to be the most reliable ion diagnostics since they a re sensitive only to ions and measure ions one by one. However, ion pit analyses require tremendous time and effort in chemical etching, microscope scanning, an d ion pit identification by eyes.”

Key words

Osaka University/Osaka/Japan/Asia/Cy borgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量17
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