Novel deep-learning algorithm recognizes Signs of Poverty using Satellite Images
A team of researchers from Stanford University has developed a deep-learning algorithm that can identify signs of poverty in satellite images. The research team has gone through a million of images to find out economic conditions in five American nations. Majorly, satellites are known for assisting smartphones find out driving routes. But now, data from thousands of satellites orbiting earth are helping to track crop conditions, illegal deforestation and poverty in the hard-to-reach places across the globe. Study’s lead researcher Neal Jean from Stanford University said that one of the biggest problems is to how to take out useful information from unstructured data. If a way is found on how to do this then it would be a boon for track poverty. Many international aid organizations including the World Bank…
Link to Full Article: Novel deep-learning algorithm recognizes Signs of Poverty using Satellite Images
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