Seeking a faster pathway to synthetic data

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	Seeking a faster pathway to synthetic data
	admin
	2021-06-15
发布年	2021
语种	英语
国家	德国
领域	资源环境
正文(英文)	In addition to experimentally generated data, fundamental research in physics also works with synthetically generated data. Acquisition of such data with currently available simulation methods is, however, time consuming and ties up immense computer capacity. A new project by the Deutsches Elektronen-Synchrotron (DESY, Hamburg), the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the Center for Advanced Systems Understanding (CASUS, Görlitz) at the HZDR, is testing an approach with which data on physical systems behavior can be generated more quickly using neural networks. The “SynRap” project was selected for funding through a competitive process. The fifteen winning teams are to receive a total of 6.2 million euros over the next few years to carry out their projects through the Helmholtz Association’s Artificial Intelligence Cooperation Unit Helmholtz AI.
URL	查看原文
来源平台	Helmholtz Association
文献类型	新闻
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/330631
专题	资源环境科学
推荐引用方式 GB/T 7714	admin. Seeking a faster pathway to synthetic data. 2021.