Earth and the cosmos

Advances in AI, machine learning and robotics are pushing the boundaries of mathematical and physical sciences research.

From innovations that enhance our understanding of the universe in data-intensive experiments in astronomy, planetary and earth science, and particle physics, to applications such as materials modelling and discovery, and the analysis of satellite data for earthquake or tsunami predictions, AI is being used to answer fundamental questions about our planet and the cosmos.
 

Big data

Centre for Doctoral Training in Data Intensive Science 

UCL is hosting the Science and Technology Facilities Council‘s (STFC) first Centre for Doctoral Training in Data Intensive Science (DIS). DIS encompasses a wide range of areas in the field of 'big-data' including the collection, storage and analysis of large datasets, as well as the use of sophisticated algorithms, statistical methods and cutting-edge machine learning techniques to interpret these complex datasets.