AI improves detail, estimate of urban air pollution
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.
Related Knowledge Center: Air emissions
More than 30 years after the last major update of the Clean Air Act, the U.S. Supreme Court has upended the ability of Congress to give the Environmental Protection Agency and other federal agencies broad scope to combat air pollution, including the emission of greenhouse gases. Meanwhile, further Biden administration efforts to limit emissions face opposition in the courts.