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A Massive Google Network Learns To Identify — Cats

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All Things Considered host Audie Cornish talks with Andrew Ng, Associate Professor of Computer Science at Stanford University. He led a Google research team in creating a neural network out of 16,000 computer processors to try and mimic the functions of the human brain. Given three days on YouTube, the network taught itself how to identify — cats.
NPR

National Museum of African American History Opens Its Doors

More than 100 years after it was originally proposed, the Smithsonian National Museum of African American History and Culture is opening its doors in Washington, D.C.
NPR

While Everyone Was Partying At Woodstock, I Was Stuck At Schrafft's

The chain restaurant that catered to women helped redefine how Americans eat, according to a new book. For NPR's Lynn Neary, it also defined how she did and didn't fit with the counterculture.
NPR

Newspaper Endorsements Matter Most When They're Unexpected

The New York Times endorsed Hillary Clinton on Saturday, but an endorsement that came the day before from a smaller paper may matter more to its readers, for the simple fact that it was unexpected.
NPR

As Our Jobs Are Automated, Some Say We'll Need A Guaranteed Basic Income

How will the economy provide economic opportunities if employers need fewer workers in the future? A growing number of people in Silicon Valley are saying the only realistic answer is a basic income.

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