AI, AI, Captain! How the Mayflower Autonomous Ship will cross the Atlantic

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AI, AI, Captain! How the Mayflower Autonomous Ship will cross the Atlantic
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This month, IBM and Promare — a U.K.-based marine research and exploration charity — will trial a prototype of an artificial intelligence (AI)-powered maritime navigation system ahead of a September 6th venture to send a crewless ship across the Atlantic Ocean on the very same route the original Mayflower traversed 400 years ago.
Mayflower version 1.0 was a square-rigged sail ship, like many merchant vessels of the era, and relied purely on wind and human navigation techniques to find its way to the New World.
“Edge computing is critical to making an autonomous ship like the Mayflower possible,” noted Rob High, IBM’s CTO for edge computing.
The team behind the new Mayflower has been training the ship’s AI models for the past few years, using millions of maritime images collected from cameras in the Plymouth Sound, in addition to other open source data sets.
Alongside IBM’s PowerAI Vision, the Mayflower’s AI Captain is built to detect and identify ships and buoys — as well as other hazards, including debris — and to make decisions about what to do next.
For example, if the MAS encounters a cargo ship that has shed some of its load after colliding with another vessel, the AI Captain will be called into action and can use any combination of onboard sensors and software to circumvent the obstacles.
Radio broadcast warnings from the cargo ship can also be accepted and interpreted, with the AI Captain ready to decide on a change of course.
Other data the AI Captain can tap into includes the navigation system and nautical chart server, which provide the current location, speed, course, and route of the ship, as well as attitude sensors for monitoring the state of the sea and a fathometer for water depth.
Crucially, the AI Captain can communicate vocally with other ships in the vicinity to convey any change in plans

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