Imagine standing up to give a speech in front of a critical audience. As you do your best to wax eloquent, someone in the room uses a clicker to conspicuously count your every stumble, hesitation, um and uh; once you’ve finished, this person loudly announces how many of these blemishes have marred your presentation.
Source: nautil.us
We called them fairy rocks. They were just colorful specks of gravel—the kind you might buy for a fish tank—mixed into my preschool’s playground sand pit. But my classmates and I endowed them with magical properties, hunted them like treasure, and carefully sorted them into piles of sapphire, emerald, and ruby.
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This is an example of what’s called an adversarial image: an image specifically designed to fool neural networks into making an incorrect determination about what they’re looking at. Researchers at Google Brain decided to try and figure out whether the same techniques that fool artificial neural networks can also fool the biological neural networks inside of our heads, by developing adversarial images capable of making both computers and humans think that they’re looking at something they aren’t.
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Happiness, in one form or another, seems to be a common goal that most of us would like to attain. We often behave as though we might find a route to contentment—comfort, satiety, warmth, or some other reward—and be happy all the time if we could just make the right choices. But pleasure is often fleeting, even from the most appealing experiences, giving rise to ennui and sparking the drive for something new and sensational.
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