Science Topic

Artificial intelligence and machine learning

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

Artificial Intelligence (AI) and Machine Learning (ML) is a rapidly growing and increasingly important research technique, with potential applications in all aspects of research. As more and more environmental data is collected, AI/ML is playing a vital role in analysing, interpreting, and producing meaningful outputs for use by other researchers and wider society.

Through the NERC (Natural Environment Research Council) Earth Observation Data Acquisition and Analysis Service (NEODAAS), PML has a team of AI/ML experts that can consult, advise, train, and provide support on the development and use of AI/ML in environmental research.

Alongside PML’s AI/ML experts, state-of-the-art AI infrastructure has been installed in a bespoke, energy efficient data centre. The MAssive GPU cluster for Earth Observation (MAGEO) is an incredibly powerful computer intended to apply artificial intelligence algorithms to Earth observation (EO) data, to help develop “environmental intelligence’ applications that leverage patterns in the natural world. Work already undertaken on the system includes research on wildfires, oil spills, microplastic detection and habitat mapping


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People who work in this area

Dr Angus Laurenson Dr Angus Laurenson Scientific Python Guru
Dr Dan Clewley Dr Dan Clewley Lead Research Software Engineer
Dr David Moffat Dr David Moffat Artificial Intelligence and Data Lead Scientist
Deep S. Banerjee Deep S. Banerjee Modelling Scientist
Dr James Clark Dr James Clark Marine Ecosystem Modeller
Dr Jozef Skakala Dr Jozef Skakala Ecosystem modeller
Professor Matthew Palmer Professor Matthew Palmer Head of Group - Environmental Intelligence
Dr Saskia Rühl Dr Saskia Rühl Digital Marine Biologist
Professor Steve Groom Professor Steve Groom Principal Earth Observation Scientist

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