Researchers at IBM are testing a computer system that is able to learn how to predict levels of air pollution in different parts of Beijing by a few days , by combining large quantities of data together from various sources . By predicting pollution levels up to 72 hours beforehand , the goal is to use the system to recommend solutions to reducing pollution levels in certain areas of the city in advance , for example limiting vehicle emissions or restricting drivers on the road at certain times of the week . If the project , named Green Horizon , is successful it opens up the possibility for other high polluting cities around the world to use this technology to help reduce greenhouse gas emissions , improving air quality and living standards .
Researchers at IBM are testing a computer system that is able to learn how to predict levels of air pollution in different parts of Beijing by a few days, by combining large quantities of data together from various models. By predicting pollution levels up to 72 hours beforehand, the aim is to use the system to recommend solutions to reduce pollution levels in certain areas of the city in advance, for example limiting factory emissions or restricting drivers on the road at certain times of the week. If the project, named Green Horizon, is successful it opens up the possibility for other high polluting cities around the world to use this technology to help reduce greenhouse gas emissions, improving air quality and living standards.