Project vesselAI
Shipping is the lifeblood of global economy, but it is also one of the leading sources of greenhouse gases. Further, maritime shipping is one of the domains with higher incident risk, due to heavy traffic especially in congested waters. Hence, the maritime shipping sector faces escalating pressure for ship and crew safety, energy efficiency optimization and emissions reduction.
The sector generates extremely large volumes of data, whose potential still remains untapped due to the involvement of enormous stakeholders and the sophistication of modern vessel design and operation. This fact, together with recent advances in AI, HPC and Big Data, as well as the application of the digital twill concept, provides the maritime shipping with an unique opportunity to address the increasing demands of the sector and bring a sea-change in the Maritime Industry.
VesselAI is a three-year EU-funded research project that aims to unlock this unexploited potential by developing, validating and demonstrating a unique framework for extreme-scale data and AI services for the maritime domain, facilitating the modelling and prediction of ships’ behaviour. Using digital twin technology, the framework will efficiently fuse and assimilate huge amounts of data, enabling highly accurate modelling as well as design and operation optimisation of ships and fleets under various dynamic conditions. VesselAI will also tap into the potential of artificial intelligence, cloud computing and high-performance computing, encouraging deeper digitalisation in the shipping industry.