首页|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)
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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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.”
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