Sign In

Communications of the ACM

ACM TechNews

AI Helping Scientists Understand an Ocean's Worth of Data


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
A whale.

National Oceanic and Atmospheric Administration researchers, with help from engineers at Google, trained a neural network to distinguish humpback whale songs from other ocean noise.

Credit: Francois Gohier/VW Pics/Universal Images Group, via Getty Images

Researchers at the National Oceanic and Atmospheric Administration, with help from engineers at Google, trained a neural network to distinguish humpback whale songs from other ocean noise.

The researchers used the resulting program to determine the occurrence of the species in islands in the Pacific, and how that may have changed over the past decade.

Meanwhile, researchers at the Charles Stark Draper Laboratory and the New England Aquarium are using data from satellites, sonar, radar, human sightings, ocean currents, and more to train a machine learning algorithm to create a probability model to help locate the endangered North Atlantic right whale.

Said the Monterey Bay Research Aquarium Institute's Kakani Katija, "What I love about technology or the progress we’re seeing in AI, I think it’s a hopeful time because if we get this right, I think it will have profound effects on how we observe our environment and create a sustainable future."

From The New York Times
View Full Article

 

Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

No entries found