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Machine learning faces its toughest challenge yet: Discerning donuts from bagels

Machine learning faces its toughest challenge yet: Discerning donuts from bagels

Machine learning may border on magic, and provide many of the biggest technical benefits we've enjoyed in the last decade, but it has plenty of "weak spots." One of Google's biggest concerns is that models are often trained using example data that's too easy to interpret, making them unprepared for the greater ambiguity of the real world. Case in point: Telling a donut from a bagel.

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What We Use 2014: The Stuff Bertel Can't Live Without

What We Use 2014: The Stuff Bertel Can't Live Without

It's my turn to share what items I use to get stuff done each day, but first, I realize that I have yet to formally introduce myself to you guys. Hello, dear readers. My name is Bertel King, Jr., I'm 24 years old, and I consider myself incredibly fortunate. Back in 2012, I graduated from the second oldest college in the US and married the woman whom I dated for all four of my years there. I then started writing for a number of sites, and the next year, I landed a gig at what I wouldn't hesitate to consider a dream job.

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115
What We Use 2014: The Stuff Cameron Can't Live Without

What We Use 2014: The Stuff Cameron Can't Live Without

I can't believe it's already been a year since the last What We Use, but alas, it has. Basically everything has changed in my device collection since last year, so there's a lot to talk about this go around. Before we get into the stuff you're actually here to see, however, l want to point out that we're going to take a slightly different approach to the What We Use series this time.

Last year, Artem pointed out that he'd like to see a more personalized version of this series. Instead of making the most common devices the focal point of the post, we're going to take a closer look at some of the more obscure things that we commonly use – not just as journalists or techies, but as people in general.

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