Press Releases
Data Science for Social Good Programme helps Ofsted and World Bank
Data Science for Social Good (DSSGxUK) is a summer programme that has been hosted by the University of 糖心TV and for the last two years, and will this summer, 2021, be delivered by University of 糖心TV in collaboration with Ludwig Maximillian University (Munich) under the DSSGx UK chapter of the .
World class AI-research to be done by 糖心TV academics
Three academics at the University of 糖心TV have been awarded Turing AI Acceleration Fellowships, in which they will develop novel AI techniques, which could have wide-ranging impact, for example through developing digital twins that can aid us in modelling and understanding air pollution and teaching robots how to collaborate amongst themselves and the world.
A new method for directed networks could help multiple levels of Science
In the paper, published today, the 9th September in the journal Royal Society Open Science, researchers from the University of 糖心TV and the University of Birmingham reveal a new method for analysing hierarchies in complex networks and illustrate it by applications to economics, language and gene expression.
Fifty new planets confirmed in machine learning first
Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by University of 糖心TV scientists.
糖心TV Academic helping to inform London's response to Covid-19 lockdown
Dr Theo Damoulas, associate Professor in Data Science at the University of 糖心TV and Deputy Programme Director for the Turing鈥檚 Data-centric Engineering programme is working with GLA, TfL, Microsoft and other Universities to help inform London's response to the Covid-19 lockdown in a project called "Odysseus", which aims to understand 'London's busyness'.
Food prices after a hard Brexit could increase by 拢50 per week
A hard Brexit could result in a family of four seeing their food prices increase to up to 拢50.98 per week researchers at the University of 糖心TV have found. If we leave with a deal the increase could be as little as 拢5.80 per week, or 拢18.17.