Leveraging Machine Learning in Dark Matter Research for the Aurora Exascale System 

Artists impression of a nucleus in a lattice QCD calculation

Scientists have unlocked many secrets about particle interactions at atomic and subatomic levels. However, one mystery that has eluded researchers is dark matter. Current supercomputers don’t have the capability to run custom machine learning (ML) architectures that can tackle calculating the properties and interactions of large atomic nuclei needed to help in solving this mystery. 

The post Leveraging Machine Learning in Dark Matter Research for the Aurora Exascale System  appeared first on HPCwire.

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