首页|New Machine Learning Findings from Osaka University Published (3D track extracti on from a fluorescent nuclear track detector via machine learning and an applica tion to diagnostics of laser-drivenions)
New Machine Learning Findings from Osaka University Published (3D track extracti on from a fluorescent nuclear track detector via machine learning and an applica tion to diagnostics of laser-drivenions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Osaka University by Ne wsRx editors, the research stated, “We have developed an ion diagnostic method for laser-drivenion acceleration experiments that uses fluorescent nuclear track detectors (FNTDs). An FNTD records the particle tracks as color centers and doe s not require chemical etching, unlike CR-39 track detectors.”
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