An AI analysis of 500,000 studies shows how we can end world hunger

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An Indian farmer dries harvested rice from a paddy field in Assam.

Ending hunger is one of the top priorities of the United Nations this decade. Yet the world appears to be backsliding, with an uptick of 60 million people experiencing hunger in the last five years to an estimated 690 million worldwide.

To help turn this trend around, a team of 70 researchers published a landmark series of eight studies in Nature Food, Nature Plants, and Nature Sustainability on Monday. The scientists turned to machine learning to comb 500,000 studies and white papers chronicling the world’s food system. The results show that there are routes to address world hunger this decade, but also that there are also huge gaps in knowledge we need to fill to ensure those routes are equitable and don’t destroy the biosphere.

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Urban farming will bring food to city-dwellers that need it most

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The planet is growing more food than ever, and yet millions of people continue to starve worldwide. People are hungry everywhere — in the country, in the suburbs. But increasingly, one of the front lines in the war against hunger is in cities. As urban populations grow, more people find themselves in food deserts, areas with “[l]imited access to supermarkets, supercenters, grocery stores, or other sources of healthy and affordable food,” according to a report by the U.S. Department of Agriculture.

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The plan to end world hunger with 3D printed food

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Anjan Contractor’s 3D food printer might remind you of the “replicator” popularized in Star Trek where Captain Picard was constantly interrupting himself to order tea.  Contractor’s company, Systems & Materials Research Corporation, just got a six month, $125,000 grant from NASA to create a prototype of his universal food synthesizer.

 

 

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