Article 6YTE7 LLNL: Deep Learning Model Predicts Toxic Plume Movement

LLNL: Deep Learning Model Predicts Toxic Plume Movement

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from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#6YTE7)
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In a study published inPNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in just a few minutes.

The post LLNL: Deep Learning Model Predicts Toxic Plume Movement appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

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