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RENCI to join researchers in a collaboration to increase reliability and efficiency of DOE scientific workflows by leveraging artificial intelligence and machine learning methods

RENCI将与研究人员合作,利用人工智能和机器学习方法,提高DOE科学工作流程的可靠性和效率

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【时间】: 2021-09-13
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The Department of Energy (DOE) advanced Computational and Data Infrastructures (CDIs) – such as supercomputers, edge systems at experimental facilities, massive data storage, and high-speed networks – are brought to bear to solve the nation’s most pressing scientific problems, including assisting in astrophysics research, delivering new materials, designing new drugs, creating more efficient engines and turbines, and making more accurate and timely weather forecasts and climate change predictions.