When disaster strikes, a single drone or satellite image can paint a thousand words but convey little about the individual lives turned upside down or the emergency response they need most.

Until recently, analysing the damage to buildings or infrastructure could take weeks and was carried out later in the response. Now, a machine learning application known as Digital Engine for Emergency Photo-analysis (DEEP) is accelerating the process. The World Food Programme (WFP) is working with leading experts to take machine learning to new limits.