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A Memorandum of Understanding (MoU) has been signed between The Alan Turing Institute and the not-for-profit organisation Maritime Digital Hub.
This formally establishes a working collaboration to support awareness, research, and innovation for the use of AI and data science within the maritime and marine community.
This new collaboration aims to identify and share opportunities for potential research in several key impact areas: artificial intelligence and machine learning, advanced analytics, computational science, and data-centric engineering.
The collaboration establishes plans to develop joint research opportunities as well as to coordinate and collaborate on an awareness program to enhance general understanding of the capabilities of AI and data science in a marine/maritime context.
“This MoU with The Alan Turing Institute is the first step in what I expect to be an extremely positive and rewarding journey for Maritime Digital Hub and the wider maritime community” said Kevin Smith, founder and CTO at Maritime Digital Hub.
“We recognise and support The Alan Turing Institute’s commitment to AI and data science research which has real world application, impact and that pushes the boundaries for good. By working collaboratively and including our own team of cross-industry specialists from our strategic partners, research academics, and innovation enablers we will help to provide thought leadership and technology support and act as the conduit to access the wide range of marine and maritime industries and organisations who will benefit from this MoU.”
Mark Girolami, programme director of data-centric engineering said: “The marine and maritime sectors are facing a transformation at all levels from the availability of new AI technologies, new processes, and whole new operational and business models. These are all driven by data. The Alan Turing and its data-centric engineering programme research scientists and engineers are heavily invested in the marine and maritime sector and this MoU marks a significant development in ensuring the sector benefits from the data-centric revolution.
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This article has been posted as is from Source