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Funded research

Airport

Dynamic forecasting with British Airways

Predicting demand for flights is central to airline business strategy, and enormously complex. In collaboration with British Airways, the Turing has developed novel machine learning techniques to tackle the challenge.

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

marble steps

Data safe havens in the cloud

Developing a policy and process framework for secure environments for productive data science research projects at scale

Air traffic control

Putting the AI in air traffic control

The UK’s leading air traffic control provider, NATS, has teamed up with the Turing to explore how the industry can evolve with machine learning

BA plane

Dynamic forecasting

Developing scalable methods for forecasting in the airline industry

Inside Stansted air traffic control tower

Decision-making under uncertainty in air traffic control

Investigating machine learning methods to support air traffic controllers

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Related research

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

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