Nancy Pelosi addressed a gathering of presidents of Christian colleges this week in Washington, where she thanked the evangelical community for its leadership on immigration and refugee policy reform. To this end, the speaker of the House quoted a favorite bit of biblical wisdom in her opening statement: “To minister to the needs of God’s creation is an act of worship. To ignore those needs is to dishonor the God who made us.”
OK, actually, she said, it might not technically be from the Bible.
“The Pelosi passage is not in the Bible,” Will Kynes, an associate professor of the Hebrew Bible/Old Testament at Whitworth University, told me by email. The closest analog he could find was Proverbs 14:31, which switches the order of the two main ideas and focuses specifically on the poor: “Those who oppress the poor insult their Maker, but those who are kind to the needy honor him.” Greg MaGee, an associate professor of biblical studies at Taylor University, independently suggested the same verse as the closest approximation of the sentiment in Pelosi’s version.
Researchers at Oak Ridge National Laboratory are training Summit, the world’s fastest supercomputer, to model climate change using machine learning techniques.
ALONG AMERICA’S WEST coast, the world’s most valuable companies are racing to make artificial intelligence smarter. Google and Facebook have boasted of experiments using billions of photos and thousands of high-powered processors. But late last year, a project in eastern Tennessee quietly exceeded the scale of any corporate AI lab. It was run by the US government.
The record-setting project involved the world’s most powerful supercomputer, Summit, at Oak Ridge National Lab. The machine captured that crown in June last year, reclaiming the title for the US after five years of China topping the list. As part of a climate research project, the giant computer booted up a machine-learning experiment that ran faster than any before.
Summit, which occupies an area equivalent to two tennis courts, used more than 27,000 powerful graphics processors in the project. It tapped their power to train deep-learning algorithms, the technology driving AI’s frontier, chewing through the exercise at a rate of a billion billion operations per second, a pace known in supercomputing circles as an exaflop.
The New England Patriots took a 3-0 lead over the Los Angeles Rams into halftime, as the teams combined for the second-lowest-scoring half in Super Bowl history on Sunday night.