Playback: Akufo-Addo speaks to business community
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VesselAI aims at realising a holistic, beyond the state-of-the-art AI-empowered framework for decision-support models, data analytics and visualisations to build digital twins and maritime applications for a diverse set of cases with high impact, including simulating and predicting vessel behaviour and manoeuvring (including the human factor), ship energy design optimisation, autonomous shipping and fleet intelligence
Learn More...Deliver an open and trusted platform capable of distributed data analysis workflows combining data-intensive capabilities, fuelling shore-side decision support and next-generation maritime services
Design and develop the appropriate software and hardware components, tools and libraries that will enable the efficient ingestion, curation and querying of extreme-scale data sets coming from different sources
Deliver a set of trained, high-quality interpretable ML / DL models by exploiting extreme-scale data sets for advanced classifications, analysis and forecasts related to maritime entities
Deliver a state-of-the-art HPC and resources management framework for optimising the required extreme-scale data processing, models training and serving for maritime digital twins and applications
Demonstrate the applicability and value of the VesselAI framework, models and tools through real-life maritime digital twins and applications
Support European Research in AI by utilising, contributing to and extending the AI4EU platform services and research activities
Promotion and adoption of the outcomes to maritime-related organisations across the EU, as well as to stakeholders involved in the scientific areas of AI, HPC and Big Data
Development of a comprehensive business plan that will guarantee the exploitation and sustainability of the VesselAI research, platform, and its services beyond the end of the project
Designing and developing a high-performance, scalable and sustainable decision-making framework for data-driven digital twins includes and requires innovation diffusion and exploitation of network dynamics, and the adaptability to the stakeholders’ needs. In this direction, VesselAI brings a diverse set of pilot scenarios to the centre of the process, to test and improve the initial proposition, and provide a truly innovative solution that makes extreme-scale decision analysis, using novel data engineering and machine learning techniques, a native engineering characteristic
VesselAI researches and extends different models for feeding Vessel Traffic Management Systems and experimental digital twins of the vessels using different Machine and Deep Learning approaches
VesselAI incorporates AI, HPC and digital twin in the loop of the design and optimization process to effectively simulate and optimize thousands of design alternatives for ship energy systems
VesselAI utilises large volumes of data from shore control centres to forecast traffic situations beyond the next manoeuvre and to predict the next manoeuvres of the surrounding manned vessels
VesselAI provides an AI-based realtime fleet operations optimization using vessel and fleet digital twins, with automated voyage optimization, according to weather and operations
Get to know the latest news about VesselAI
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Led by well-experienced enterprises and institutions, the VesselAI project is bound to introduce notable advancements beyond the state of the art, with the research partners contributing a promising blend of data engineering, artificial intelligence, HPC, simulations and maritime technology and the pilot partners providing their requirements, innovative use-case testing and end-user engagement and validation.
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