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Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites
2023-12-20
The feasibility study by ÐÇ¿Õ´«Ã½ researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more
Machine Learning Key to Proposed App that Could Help Flood-prone Communities
2023-09-28
School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.
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Researchers Blazing New Trails with Superchip Named After Computing Pioneer
2024-04-17
ÐÇ¿Õ´«Ã½ is one of the first research universities in the country to receive the GH200 Grace Hopper Superchip from NVIDIA for testing, study, and research.