AI Unveils Two Alien Planet Signals Buried in Kepler Spacecraft Data

Kepler Spacecraft


The future of the AI, artificial-intelligence, algorithm concept for finding planets hidden in data sets looks bright. The algorithm developed by the University of Texas at Austin, in partnership with Google, can be used to probe the entire K2 data set of approximately 300,000 stars. The method is applicable to Kepler’s successor planet-hunting mission, TESS, which launched in April 2018.


Planet Earth Report –“We’re Scaring Whales to Death to Grin, a Strange New Crypto Coin”


Earth from the ISS


The “Planet Earth Report” connects you to headline news on the science, technology, discoveries, and events changing our planet and the future of the human species.


“Searching for Weirdness” –‘We’re Just Starting to Learn How to Look for Advanced Alien Life Using AI’ (Today’s Most Popular)

“We’re just starting to learn how to look for, in machine learning, what’s called anomaly detection,” says Dan Wertheimer, chief scientist for SETI at the University of California at Berkeley. “In anomaly detection, you classify things — ‘this is a curved signal, this is a sinusoidal signal, this is a pulsed signal’ — and if it’s not one of those things, it’ll say, ‘Hey, I found something that’s not following all these categories, this is an anomaly.’ It will alert you, and you’ll take a look at it and see if it’s interesting. We are not doing that now, we’re learning how to do that.”


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