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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. |
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