AI improves detail, estimate of urban air pollution — ScienceDaily
Using artificial intelligence, Cornell University 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. Now, city planners and government health officials can obtain a more precise accounting about … Read more