摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Edi Tors在亚利桑那州坦佩的新闻报道，研究人员称，“X射线自由电子激光器的数据收集面临着一些实验挑战，如连续样品输送或使用新型超快高动态范围增益开关X射线探测器。这可能导致大量数据伪影，这可能不利于准确地确定串行晶体学或单粒子成像实验的结构因子振幅。”本研究的资助者包括美国国家科学基金会(NSF)，亚利桑那州立大学应用结构发现生物设计中心，美国能源部(DOE)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Tempe, Arizona, by NewsRx edi tors, research stated, “Data collection at X-ray free electron lasers has partic ular experimental challenges, such as continuous sample delivery or the use of n ovel ultrafast high-dynamic-range gain-switching X-ray detectors. This can resul t in a multitude of data artefacts, which can be detrimental to accurately deter mining structure-factor amplitudes for serial crystallography or single-particle imaging experiments.” Funders for this research include National Science Foundation (NSF), Biodesign C enter for Applied Structural Discovery at Arizona State University, United State s Department of Energy (DOE).
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