Proactively Building in Efficiency in Machine Translation Engines to Reduce Our Carbon Footprint
Dan Milczarski, Executive Vice President, Process & Technology, CQ fluency

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!

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