Machine Learning to Enable Efficient Uncertainty Quantification, Data Assimilation, and Informed Data Acquisition
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
This whitepaper addresses the following focal area: (1) Data acquisition and assimilation enabled by machine learning, AI, and advanced methods including experimental/network design/optimization, unsupervised learning (including deep learning), and hardware-related efforts involving AI (e.g., edge computing)
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI ID:
- 1769743
- Report Number(s):
- AI4ESP1097
- Country of Publication:
- United States
- Language:
- English
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