In Energy and Policy Considerations for Deep Learning in NLP, three UMass Amherst computer science researchers investigate the carbon budget of training machine learning models for natural language processing, and come back with the eyepopping headline figure of 78,468lbs to do a basic training-and-refinement operation.
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William Happer -- a physicist and former Princeton professor -- already serves on Trump's National Security Council as deputy assistant for emerging technologies; but now he's been promoted to chair of a climate review panel charged with discrediting the National Climate Assessment.
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Canada's filthy tar sands are the world's most carbon-intensive petroleum source, and in the boom years, they flooded the country with so much filthy money that the country spent a decade making war on science and trashing democratic fundamentals in a bid to sustain the tar-sands bubble. Read the rest
Earth's most remote continent finally caught up with its more populated counterparts. “Carbon dioxide has been steadily rising since the start of the Industrial Revolution, setting a new high year after year,” writes Brian Kahn at Climate Central. “There’s a notable new entry to the record books. The last station on Earth without a 400 parts per million (ppm) reading has reached it.” Read the rest