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Proactively Building in Efficiency in Machine Translation Engines to Reduce Our Carbon Footprint

Proactively Building in Efficiency in Machine Translation Engines to Reduce Our Carbon Footprint

Dan Milczarski writes, “Recent estimates suggest that the carbon footprint of training a single AI is as much as 284 tons of carbon dioxide equivalent — five times the lifetime emissions of an average car. As a responsible global citizen, organizations and corporations should feel ethically compelled to do their part to improve our earth’s prognosis in this time of climate change.” Read on to learn more!