Backed by over £15 million funding, the University of Oxford is establishing a new Centre for Doctoral Training (CDT) that will combine the university’s strengths in artificial intelligence (AI), machine learning, Big Data, and environmental sciences. Over an initial eight years, The UKRI AI Centre for Doctoral Training in AI for the Environment (The Intelligent Earth Centre) will train almost 100 PhD students to develop and apply cutting-edge AI technologies to tackle urgent environmental crises.
The Centre involves the following University of Oxford Departments: Physics, Biology, Computer Science, Earth Sciences, Engineering Science, Statistics, and the School of Geography and the Environment. It is a collaboration with the following non-academic partners: IBM, Google, DeepMind, NVIDIA, ESA, Planet, Met Office, Frontier Development Lab, UK Centre for Ecology & Hydrology, National Centre for Atmospheric Science, On the Edge, Natural State, ConservationXLabs, and Satellite Applications Catapult.
Professor Charlotte Deane elected Fellow of the Royal Society
Professor Charlotte Deane MBE, Professor of Structural Bioinformatics in Oxford’s Department of Statistics, has today been announced among the new Fellows of the Royal Society.
OpenBind releases first open dataset and AI model for drug discovery
The OpenBind consortium’s first release of experimental data marks a milestone in efforts to improve how artificial intelligence (AI) is used in drug discovery.
Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.