{"id":14725,"date":"2021-09-27T14:27:03","date_gmt":"2021-09-27T13:27:03","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=14725"},"modified":"2021-09-27T14:27:03","modified_gmt":"2021-09-27T13:27:03","slug":"ai-early-warning-system-runaway-climate-change-tipping-points","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/ai-early-warning-system-runaway-climate-change-tipping-points\/14725\/","title":{"rendered":"AI early warning system for runaway climate change tipping points"},"content":{"rendered":"
Researchers are creating an Artificial Intelligence algorithm that can behave as an early warning system for runaway climate change.<\/h2>\n
A consortium of researchers, including scientists from the Universities of Waterloo, Exeter and McGill, as well as the Guelph Institute for Environmental Research, is in the process of developing a deep-learning algorithm to play the role of an early warning system against runaway climate change.<\/p>\n
The researchers began by studying the thresholds past which fast or irreparable change starts to occur in a system. The findings of this novel research have been published in the journal Proceedings of the National Academy of Sciences<\/em> (PNAS<\/em>) under the title: \u201cDeep learning for early warning signals of tipping points<\/a>\u201d.<\/p>\n