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Science Quickly

Computers Learn to Use Sound to Find Ships

Science Quickly

Scientific American

Science

4.41.4K Ratings

🗓️ 5 December 2017

⏱️ 2 minutes

🧾️ Download transcript

Summary

Researchers trained machine-learning algorithms to pinpoint the location of a cargo ship simply by eavesdropping on the sound of its passing. Christopher Intagliata reports. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

This is scientific American 60 second science. I'm Christopher Intagiyata.

0:07.0

In the hunt for Red October, the Soviet submarine captain, played by Sean Connery,

0:11.0

commands his crew to verify the location of a target.

0:14.3

Give me a ping vassily. One ping only, please.

0:18.3

That ping is known as active sonar. Bob Hedrick of the Office of Naval Research, the

0:26.6

ONR, says it's the audio equivalent of switching on a flashlight. You're getting information

0:31.7

back, but you're also broadcasting your location to other

0:34.8

ships.

0:35.8

You know, number one priority in the submarines remain undetected.

0:39.2

So subs can keep their secrecy by eavesdropping on other ships instead, listening for propellers and electronics and so on.

0:46.0

Such methods known as passive sonar generally require a skilled operator,

0:51.0

but researchers are teaching machines to do it too.

0:54.0

They first recorded the underwater rumblings of cargo ships off the California coast,

1:00.0

using an array of 28 underwater microphones.

1:03.0

They fed that sound along with the ship's actual GPS coordinates to their machine learning algorithms.

1:09.0

Then they gave the algorithm's new recordings and they asked,

1:12.0

Where's the ship?

1:12.8

And it did extremely well.

1:14.4

Emma O'Zannich, a PhD student in underwater acoustics at the Scripps

1:18.3

institution of oceanography.

1:20.0

Using the audio data, she says the algorithms pinpointed the ships to within a couple hundred meters.

1:25.0

That's at distances of up to 10 kilometers.

...

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