Deep learning for electron microscopy

Finding defects in electron microscopy images takes months. It's called MENNDL, the Multinode Evolutionary Neural Networks for Deep Learning. It creates artificial neural networks--computational systems that loosely mimic the human brain--that tease defects out of dynamic data. It runs on all available nodes of the Summit supercomputer, performing 152 thousand million million calculations a second. In mere hours, scientists using MENNDL created a neural network that performed as well as a human expert.