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.įor machine learning prowess, the ship is using an IBM Power AC922 system, which is used in some of the world’s biggest AI supercomputers. “The ship needs to sense its environment, make smart decisions about the situation, and then act on these insights in the minimum amount of time - even in the presence of intermittent connectivity, and all while keeping data secure from cyberthreats.”Ībove: The Mayflower Autonomous Ship (MAS) is trained to avoid hazards The Ship’s AI Features “Edge computing is critical to making an autonomous ship like the Mayflower possible,” noted Rob High, IBM’s CTO for edge computing. Smart Decisions Governed by Environment Conditions This is why all the AI and navigational smarts must be available locally, making edge computing pivotal to the venture’s success. The onboard “AI Captain,” as it’s called, can’t always rely on GPS and satellite connectivity, and speed is integral to processing real-time data. The mission, first announced back in October, aims to tackle all the usual obstacles that come with navigating a ship through treacherous waters, except without human intervention. Above: Mayflower Autonomous Ship (MAS) will use solar- and wind-generated power, with a diesel generator as backup.
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