ARTIFICIAL intelligence has studied 700 years worth of wave data with the hope of it predicting deadly waves in the future.

AI software was trained of the data and then used to make an equation which aims to pinpoint when a huge wave could appear.

AI could help sailors predict rogue waves and avoid them

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AI could help sailors predict rogue waves and avoid themCredit: Getty

Researchers recently published a study on the subject of rogue waves and AI.

They explained how the software was able to “to transform a vast database of wave observations into a human-readable equation for the occurrence probability of rogue waves—rare ocean waves that routinely damage ships and offshore structures.”

According to National Geographic: “A rogue wave is usually defined as a wave that is two times the significant wave height of the area.”

The waves get so big they can destroy ship hulls.

Rogue waves have also been known to disable oil rinks.

For this reason, it would be useful for seafarers to be able to predict when a dangerous wave is going to appear.

Johannes Gemmrich is one of the research scientists at the University of Victoria in Canada who worked on the study.

He said in a statement: “Our analysis demonstrates that abnormal waves occur all the time. In fact, we registered 100,000 waves in our dataset that can be defined as rogue waves.”

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Adding: “This is equivalent around 1 monster wave occurring every day at any random location in the ocean.

“However, they aren’t all monster waves of extreme size.”

The National Oceanic and Atmospheric Administration (NOAA) provides examples of rogue wave incidents.

In 1933, The USS Ramapo reported spotting a wave that was over 112 feet high.

In 2005, a 70-foot rogue wave hit the Norwegian Dawn cruise ship, leaving its hull damaged.

The NOAA does highlight: “It is very seldom that huge waves over 65 feet (20 meters) develop, and normally sailors do not even see them because ships nowadays will try to avoid such conditions by altering course before the storm hits.”

This post first appeared on Thesun.co.uk

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