Researchers tracked the personal daily online activity profiles of nearly 15,000 college students as they logged into campus servers. After sorting the students into “night owls,” “daytime finches” and “morning larks” — based on their activities on days they were not in class — researchers compared their class times to their academic outcomes.
Source: berkeley.edu
Dreams differ not only across a single lifetime or a single night, they also differ dramatically across historical epochs. The dreams of the ancient Greeks and Romans, and indeed the dreams of most peoples of the ancient world, were viewed as direct portals into the spirit world and the realm of the ancestors and gods. Ancient peoples (and traditional peoples even today) often experienced dreams as the place to conduct a transaction with a spirit being who could significantly help or hinder you in your daily affairs.
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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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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.
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