Stanford scientists combine satellite data, machine learning to map poverty

August 18, 2016Stanford scientists combine satellite data, machine learning to map poverty Accurate and reliable information on the location of impoverished zones is surprisingly lacking for much of the world. Applying machine learning to satellite images could identify impoverished regions in Africa. Facebook Twitter Email By Michelle Horton One of the biggest challenges in providing relief to people living in poverty is locating them. The availability of accurate and reliable information on the location of impoverished zones is surprisingly lacking for much of the world, particularly on the African continent. Aid groups and other international organizations often fill in the gaps with door-to-door surveys, but these can be expensive and time-consuming to conduct. Go to the web site to view the video. Video by Neal Jean Stanford researchersā€¦


Link to Full Article: Stanford scientists combine satellite data, machine learning to map poverty