The BAS AI Lab is a cross-disciplinary group of scientists and engineers leading in the application of AI and Data Science methods to tackle our greatest polar research challenges.
AI methods are now embedded across many areas of BAS science and engineering, including: oceanography; climate science and weather extremes; glacial change and water security; space weather monitoring; and for tracking icebergs and wildlife from space. The Lab has two overarching objectives: developing AI algorithms for optimising the use of our polar research vessels, our fleet of underwater and aerial vehicles, and Antarctic research bases; and the development of machine learning methods for understanding and predicting environmental change. The BAS AI Lab also lead projects under The Alan Turing Institute’s AI for Science and Government research programme, including Understanding Arctic sea ice loss and Improving tracking of iceberg populations in the Southern Ocean. Through our PhD student projects we also collaborate closely with several industrial partners including Google DeepMind, Microsoft, World Wildlife Fund, Max Fordham, Mott MacDonald and the UK Met Office.
Michelle Wan (AI for Environmental Risks, CDT) | Fruzsina Agocs (Kavli Institute for Cosmology, Univ. Cambridge) | Matt Amos (Univ. Lancaster) | Robert Rouse (Future Infrastructure and Built Environment CDT, Univ. Cambridge) | Will Tebbutt (Machine Learning Group, Univ. Cambridge) | Simon Thomas (Univ. Cambridge)
Ellie Krige (Part III Project, Univ. Cambridge, 2020-2021), Tudor Suciu and Mala Virdee (MRes projects in AI for Environmental Risks, CDT, 2020), Shahel Khan (Part III Project, Univ. Cambridge, 2017-2018), Stratis Markou (Internship, Machine Learning Group, Cambridge, 2017), Lille Borresen (Internship, 2018), Daniel Popa-Christobal (Internship, 2018), Harry Holt (paper, Internship, 2017)
24 September, 2021 by Tom Andersson
Tom Andersson, a data scientist at British Antarctic Survey Artificial Intelligence (AI) Lab, shares the latest predictions from a new Arctic sea ice forecasting AI tool as this year’s Arctic …
11 May, 2021 by Anita Faul
Over the last decade, digital technologies, including Artificial Intelligence, developed rapidly as did our capability to monitor our home planet from space with Earth Observation satellites. How can we most …
24 April, 2020 by Scott Hosking
When we see news reports on climate change on our TV, they are often accompanied by footage of a polar bear walking over the icy Arctic landscape. But the Arctic …
4 December, 2019 by Risa Ueno
Today we officially launched the BAS AI Lab – thank you everyone for coming!
22 November, 2019 by Anita Faul
Andrew Fleming and Anita Faul present their research at the First Artificial Intelligence for Copernicus Workshop
21 July, 2019 by Rachel Furner
Rachel Furner is a PhD student at British Antarctic Survey, which has recently opened up its new AI Lab, that aims to foster the application of various machine learning (and …
8 April, 2019 by Premdeep Gill
Prem hosted at Data Study Group at the Alan Turing Institute Seals from space: automated Antarctic ecosystem monitoring via high-resolution satellite imagery Antarctic seal populations are potential indicators for the …
7 June, 2018 by Dan Jones
What can machine learning tell us about the structure of the Southern Ocean? In this preprint*, we apply unsupervised clustering, a machine learning method, to Southern Ocean temperature data. * …
7 June, 2018 by Dan Jones
Summary available here: http://www.csap.cam.ac.uk/news/article-climate-change-modelling/
22 August, 2017 by Scott Hosking
Accumulation in coastal West Antarctic ice core records and the role of cyclone activity Cyclones are an important component of Antarctic climate variability, yet quantifying their impact on the polar …
22 February, 2017 by Emily Shuckburgh
Dr Emily Shuckburgh – Data Anaytics for Climate Decision Making – CSaP Lecture
18 November, 2021
An international team of scientists led by British Antarctic Survey have published research today on using new technology to study mass stranding of whales from space and how the technology …
26 August, 2021
A new AI (artificial intelligence) tool is set to enable scientists to more accurately forecast Arctic sea ice conditions months into the future. The improved predictions could underpin new early-warning …
4 February, 2021
British Antarctic Survey (BAS) scientists will work with an Artificial Intelligence company after being awarded a contract from the Canadian Space Agency (CSA) to support the protection of an endangered …
4 May, 2020
As the world continues to work around lockdown, the EGU General Assembly 2020 will take place this week (4-8 May) online. The annual EGU (European Geosciences Union) meeting, which usually …
26 February, 2020
Climate change could add around 20% to the global cost of extreme weather events by 2040, according to early findings from Cambridge researchers. The findings come from the Cambridge Climate …
9 January, 2020
A new centre will enable 50 fully-funded PhD researchers to harness satellite data to tackle global environmental challenges. The Centre for Satellite Data in Environmental Science (SENSE) will bring together expertise in …
26 February, 2019
A new Centre for Doctoral Training, involving researchers from British Antarctic Survey, will develop Artificial Intelligence (AI) techniques to address critical environmental challenges. Climate change and environmental hazards pose some …
13 December, 2018
British Antarctic Survey (BAS) scientists have been awarded funding to enable them to assess the impact of emissions from shipping and to quantify and manage the risk of climate hazards. …
1 November, 2018
Scientists have used detailed high-resolution satellite images provided by Maxar Technologies’ DigitalGlobe, to detect, count and describe four different species of whales. Reported this week in the journal Marine Mammal …
17 May, 2018
The UK and large parts of northern Europe could become windier if global temperatures reach 1.5˚C above pre-industrial levels, according to a new study. This has implications for wind energy …
13 November, 2017
The Sichuan basin is one of the most densely populated regions of China. Along with insufficient arable land and economic underdevelopments, this region is particularly vulnerable to climate-related stresses. Improving …
18 July, 2017
Last week (12th July) Dr Emily Shuckburgh travelled to Pittsburgh, USA, and received the prestigious 2017 I. E. Block Community Lecture prize from SIAM – the Society for Industrial and …
