Predicting data centre system failures Analysing data centre resource use and failure logs to better understand how and when failures occur, and how best to mitigate them
Data science at scale Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.
Distributed training for machine translation Training neural networks, and developing related hardware, to be better at translating millions of words of online text
Optimising analysis of network graphs Investigating how to optimise software that allows for the analysis of complex data networks on state-of-the-art processors
Cancer pre-diagnostic analytics with AI Creating a digital repository of a variety of tumour and immune cells and developing algorithms to recognise these cells automatically
Security in the cloud Investigating and prototyping the secure software components needed to enable data sharing without compromising data privacy.
Co-designing computing High-performance computing (HPC) environments such as data centres can be ill-equipped to deal with data science tasks, so Turing researchers collaborated with Intel to co-design better architecture for their HPC systems