PALO ALTO (CBS SF) — What if you could use artificial intelligence to measure global poverty?

PALO ALTO (CBS SF) — What if you could use artificial intelligence to measure global poverty?Well, a group of Stanford University researchers say they’ve been doing just that and that the implications could be far-reaching. The researchers, with a diverse array of expertise including computer science, electrical engineering and earth systems science, found that they can use artificial intelligence to identify global poverty zones by comparing daytime against nighttime satellite images. During the day, the satellites pick up information about a locations’ infrastructure, including man-made structures and roads, while at night it picks up information about where electricity, in the form of emitted light, is being used. The low-tech alternative for measuring poverty currently entails conducting time-intensive and costly ground surveys in remote locales. In a paper released by the researchers last week, they explain that poverty data is scarce and…


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