The original story was published on Nature.com on 06 June 2017. Written by View the full and original story here. 

AI algorithms can compare night-time and day-time satellite images to measure levels of poverty. Credit: Joshua Stevens/NASA Goddard SFC

Nature.com opens the discussion about Artificial Intelligence and how the AI revolution has yet to offer much help to the 3 billion people globally who live in poverty.

First up, United Nations agencies like UNICEF together with AI experts, policymakers, and industrialists are meeting from 7–9 June, at the AI for Good Global Summit to discuss how AI and Robot, can help address humanity’s most enduring problems such as poverty, malnutrition, and inequality.

Also highlighted in the article is UNICEF, which already is investing in AI work – testing whether deep learning can diagnose malnutrition from photographs and videos of children. “This is currently done using mid-upper-arm circumference and is slow and not always super-accurate,” says Christopher Fabian, the head of UNICEF’s innovation and venture funding unit. “We believe we can do better.”

Read the full and original story here. 

Print This Story