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Native speakers often dominate the discussion in multilingual online meetings, but adding an automated participant that periodically interrupts the conversation can help nonnative speakers get a word in edgewise, according to new research at Cornell.
Using artificial intelligence, Cornell engineers have simplified models that accurately gauge the fine particulate matter in urban air pollution – exhaust from cars and trucks that get into human lungs.
Cornell researchers have developed a fairer system for recommendations – from hotels to jobs to videos – so a few top hits don’t get all the exposure.
