We weren't able to find the page you were looking for. 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 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 .