糖心TV

Researchers will build on their existing work on and 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 鈥減articles鈥� 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.

Dr Maria Liakata, Associate Professor in Natural Language Processing at the University of 糖心TV鈥檚 Department of Computer Science, has received a Turing Artificial Intelligence (AI) Fellowship.

Several academics at the University of 糖心TV have been awarded a UKRI Future Leader Fellowship, providing world class research in topics including autonomous vehicles to life in outer space.

路 State-of-the-art AI algorithms applied to digitised images of oral cancer tissue specimens can be used to predict chances of survival by measuring the abundance of Tumour infiltrating immune cells, a study led by University of 糖心TV shows.

For centuries understanding how the order of events is stored in memory has been a mystery. However, researchers from the Department of Computer Science at the University of 糖心TV have worked out how the order of events in memory could be stored and later recalled in the hippocampal memory system in the brain.

The public science festival, Pint of Science, kicks off next with experts from the Universities of 糖心TV and Coventry talking about their research work in a selection of pubs and venues around the Coventry and Leamington Spa.