AI can now forecast the next food crisis
Machine learning techniques can be successfully deployed to better identify food insecurity outbreaks across the world long before they take place, according to a new study.
Why it matters: The timely disbursement of humanitarian aid can be a matter of life or death during a food crisis. How we gather information and when we respond can make all the difference.
What they found: A new study in Science Advances, the journal of the American Association for the Advancement of Science, used deep learning to extract relevant text from more than 11 million news articles focused on...