Artificial intelligence and satellite data could change the way we map global povertyTrue Viral News

And that includes understanding their livelihoods in terms of their sources of income, how their agriculture is performing, how different sectors of the economy perform, and, more specifically, what actually is effective at improving conditions," co-author of the study David Lobell told Mashable in an interview. Therefore, the scientists mapped those dimmer parts of the map at night with daytime photos of the same areas, allowing the computer to pick out patterns -- like road conditions or metal roofs versus thatched roofs -- that indicate a less-developed and possibly poorer region. "The study demonstrates the power of combining multiple data streams to measure things that matter. "The study demonstrates the power of combining multiple data streams to measure things that matter."