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Data Science

- - Key Capabilities - -

AI for automation

We are developing the next generation of AI technologies, such as deep reinforcement learning algorithms, which will provide machines with fully automated strategies for complex interaction tasks with the world. We are increasingly working with advanced simulations and “digital twins” to optimise physical systems and their control algorithms at the design stage, whether in the automotive industry or industrial robotics.

Automated design and process optimisation

We are exploring the use of reinforcement learning and other AI technologies such as Bayesian Optimisation in computational settings rather than only physical systems. From our “automated neuroscientist” work to the potential automation of car crash simulations, we apply statistical machine learning solutions to important economic challenges.

Computer vision

We are developing computer vision systems to assist machines to extract information from static images and streaming videos, and are exploring applications in manufacturing, security and other industries. In Medical Image Processing we work with several NHS Trusts, the Wellcome Trust, and commercial customers to develop techniques for diagnosis and decision support in X-Ray imaging and other modalities such as MRI and CT. These have the potential to reduce or prioritise Radiologist’s workloads, support training, and achieve better patient outcomes.

- - Recent Publications - -


Recent preprints can be found in arXiv. Below are some representative publications:

-- Case studies --

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We have an opportunity to build artificial intelligence systems that use the NHS’s historical data to identify which new X-rays radiologists should examine first. It is a form of digital triage. At my place we are developing such a system for chest X-rays. In future, the same principles could be applied to CT scans and MRIs.

Lord Bhattacharyya, House of Lords NHS Debate, July 2018

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