Press Releases
London air to be kept clean thanks to Warwick researchers
Researchers will build on their existing work on air quality and simulation-based inference to revolutionise pollution forecasting by combining modern machine learning and statistical methodology.
The project will develop and utilise computational techniques based around the simulation of large ensembles of “particles” to allow us to estimate and quantify our uncertainty. These techniques will be combined with models inspired by modern machine learning, particularly utilising deep Gaussian processes to describe the profile of atmospheric pollutants as they evolve over time.