An anonymous reader writes: IBM is testing a new way to help fix Beijing’s air pollution problem with artificial intelligence. Like many other cities across the country, the capital is surrounded by many coal burning factories. However, the air quality on a day-to-day basis can vary because of a number of reasons like industrial activity, traffic congestion, and the weather. IBM is testing a computer system capable of learning to predict the severity of air pollution several days in advance using large quantities of data from several different models. “We have built a prototype system which is able to generate high-resolution air quality forecasts, 72 hours ahead of time,” says Xiaowei Shen, director of IBM Research China. “Our researchers are currently expanding the capability of the system to provide medium- and long-term (up to 10 days ahead) as well as pollutant source tracking, ‘what-if’ scenario analysis, and decision support on emission reduction actions.”
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