Category

Artificial Intelligence and machine learning

Science group

Artificial intelligence and machine learning

We apply artificial intelligence and machine learning techniques to address environmental challenges

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Science group

Autonomy, technology and digitisation

Advances in marine technology can deliver economic benefits and improve the management, sustainability and governance of marine and coastal environments. Our scientists, modellers and technologists operate at the forefront of marine technology development.

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  Deep Vision: AI-enabled Mapping of Vulnerable Marine Ecosystems in the Atlantic

  Co-led by Plymouth Marine Laboratory and the University of Plymouth, this project uses artificial intelligence and high-resolution seabed data to map vulnerable marine ecosystems across the Atlantic Basin. The resulting evidence supports the design of legal protections for deep-sea biodiversity, inc...
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  Smart AUVs for detection and quantification of greenhouse gas seepage in the oceans

  SmartAUVs will dramatically improve the monitoring capabilities of AUVs, by applying artificial intelligence (AI) in concert with specialized signal processing techniques to enable AUV decision autonomy, i.e., the ability to take intelligent action in real time based on sensor input, enabling sound ...
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  Automated, in situ Plankton Imaging and Classification System (APICS)

  The Automated, in situ Plankton Imaging and Classification System (APICS) will radically improve the understanding of how environmental changes are affecting plankton, the microscopic organisms at the foundation of the marine food chain.
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  Biodiversity of the Coastal Ocean: Monitoring with Earth Observation (BiCOME)

  BiCOME will develop a better understanding of how the community structure and function of coastal ecosystems will respond to the anthropogenic and natural drivers in a changing climate.
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  Copernicus Evolution: Research for harmonised and Transitional water Observation (CERTO)

  CERTO will provide solutions to harmonise water quality products across a continuum of oceans, seas, coasts, estuaries, lagoons, rivers and lakes, to support industry, policy-makers and academia. The project will create a prototype system for Earth observation data that will be implemented across a...
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  NERC Earth Observation Data Analysis and Artificial-Intelligence Service (NEODAAS)

  Plymouth Marine Laboratory have provided satellite data to support researchers since the 1990s and the range of services offered has been constantly evolving to meet their needs and the technology available. NEODAAS was recommissioned in 2019 by NERC for five years as part of their Services and Facu...

06 November 2026

New Honorary Appointment with the University of Exeter

PML is delighted to announce that Dr James (“Jim”) Clark, Head of Group for Environmental Intelligence, has been appointed Honorary Associate Professor at the University of Exeter.

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  Unique combination of ocean monitoring technologies put to the test in Plymouth

  A collaborative marine autonomy trial, including expertise from PML scientists, has paved the way for initiatives that will advance understanding of how floating offshore wind in the Celtic Sea could impact ocean fronts and marine ecosystems.

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  Study highlights new opportunities for marine protection in the deep Pacific mining zone

  Scientists discover that adding new ‘stepping stone’ reserves could help transform a patchwork of isolated sanctuaries into a functioning safety-net for marine life, as commercial deep-sea mining moves ever closer.

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  Plymouth to host 8th ‘Advances in Marine Ecosystem Modelling Research (AMEMR)’ conference in 2027

  We are delighted to announce that the 8th Advances in Marine Ecosystem Modelling Research (AMEMR) conference, organised by Plymouth Marine Laboratory (PML), will be held at the University of Plymouth on the 5th-8th July 2027.

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  Building trust in AI for better ocean forecasting

  The International Telecommunication Union recently published their ‘AI for Good, Innovate for Impact’ interim report 2026, which features a PML-led case study that offers potential for trustworthy, lower-cost marine early war...