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AI improves detail, estimate of urban air pollution Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5)--the soot, dust and exhaust emitted by trucks and cars that get into human lungs--contained in urban air pollution.
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