Stanford scientists developed a solution combining high-resolution satellite imagery with deep learning to accurately predict poverty levels at the village level. Using TITAN X and Tesla K40 GPUs with the cuDNN-accelerated Caffe and Tensorflow deep learning frameworks to train their convolutional neural networks, the researchers used the “nightlight” satellite data to identify features in the