Podcast: Applying Deep Learning to Extreme Weather
by Rich Brueckner from High-Performance Computing News Analysis | insideHPC on (#50KVB)
"A research team from Rice University utilized three supercomputers (TACC's Stampede 2, Wrangler, and Pittsburg Supercomputing Center's Bridges system) to see if data on heat waves and cold spells could be predicted by analysis of atmospheric circulation and prior surface temperature. The results of these tests indicated that this deep learning approach is more accurate at predicting extreme weather."
The post Podcast: Applying Deep Learning to Extreme Weather appeared first on insideHPC.