A group of computer engineers at Loughborough University in Britain have developed a new system of artificial intelligence that can predict levels of air pollution hours before it occurs.
This project relies on the use of artificial intelligence techniques to predict the quantities of air polluted particles that are no more than 2.5 microns in size, which often cause low visibility in cities and create a kind of fog when their levels increase.
The new system can analyze data and the various factors behind air pollution, which can lead to a better understanding of climate change.
Technology expert TechExplorer Yuan Lin Li of Loughborough University said the new system relies on artificial intelligence techniques that analyze large amounts of information to devise rules, so that they can produce predictions of pollution.
The researchers fed the system with data on air pollution in the Chinese capital, Beijing, where they were analyzed using special algorithm equations. China was specifically chosen because there are 145 cities in China with serious pollution problems.
The new system to predict air pollution will be tested in the Chinese city of Shenzhen.
"Air pollution is one of the long-term challenges facing the whole world, especially in many developing countries ... We hope this study will help to clean air and improve human health in the future," said researcher King Kang Ming, one of the study team members.
