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Funded research

A person checking a data server

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

Aerial view of a city at night

Data science at scale

Building upon advances in high-performance computer architectures, through algorithm-architecture co-design, with applications including health and life science.

Open books

Distributed training for machine translation

Training neural networks, and developing related hardware, to be better at translating millions of words of online text

Graph analytics

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

Tissue samples

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

A hand in the clouds

Security in the cloud

Investigating and prototyping the secure software components needed to enable data sharing without compromising data privacy.

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Related research

Two people in a data centre

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

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