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.
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
Data safe havens in the cloud Developing a policy and process framework for secure environments for productive data science research projects at scale
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
Decision-making under uncertainty in air traffic control Investigating machine learning methods to support air traffic controllers
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
