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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 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.

People who work in this area of research

Dr Katie Awty-Carroll

Environmental Intelligence Data Scientist
kawc5/18/2022 9:18:00 PM@pml.ac.uk

Dr James Clark

Marine Ecosystem Modeller
jcl5/18/2022 9:18:00 PM@pml.ac.uk

Dr Dan Clewley

Earth Observation Research Software Engineer
dac5/18/2022 9:18:00 PM@pml.ac.uk

Professor Steve Groom

Head of Science - Earth Observation
sbg5/18/2022 9:18:00 PM@pml.ac.uk

Dr Angus Laurenson

Scientific Python Guru
anla5/18/2022 9:18:00 PM@pml.ac.uk

Dr David Moffat

Artificial Intelligence and Machine Learning Data Scientist
dmof5/18/2022 9:18:00 PM@pml.ac.uk