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Research projects
Focused scientific study, led by Turing researchers, working with other academics and often industry collaborators, towards defined objectives. Turing research projects aim to be multidisciplinary and multi-institutional, delivering both scientific and real-world impact.
Machine learning in Julia
Developing a machine learning toolbox for the Julia programming language, emphasising ease of use, reproducibility, high performance, rapid development and advanced interoperability.
Visual diagnostics for Markov Chain Monte Carlo (MCMC)
Designing visual diagnostics that articulate the concepts underlying robust MCMC computational algorithms
Citizen participation and machine learning for a better democracy
Using machine learning and natural language processing to overcome information overload in citizen participation platforms
Digital fingerprinting of materials microstructure
Investigating and developing new methods for concisely capturing the essence of a material’s microstructure
Social information and public opinion
Studying the individual mechanisms of public opinion formation
Bringing the social city to the smart city
Using AI and machine learning to understand and simulate cities
Improving Android game recommendations
Creating a deep learning based tool to improve game recommendations on Samsung Galaxy devices
Automating data visualisation
Researching algorithms for visualising data in digital twins, including automating the layout of large scale data and visualising the uncertainty of data values
Data science toolkit for explorable data visualisations
Helping scientists understand data analyses by connecting parts of visualisations to the data they depend on
Integrating information visualisation with machine learning
Integrating interactive data and information visualisation with machine learning technologies for learning for large datasets
Pinpointing molecular mechanisms of complex disease
Combining population and molecular data to pinpoint disease causing DNA changes
Analysing social and geographic datasets
Mapping the available tools and techniques for qualitatively understanding human behaviour, in the context of social dynamics
Safe AI for surgical assistance
Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms
sktime: A toolbox for data science with time series
A unified toolbox for time series in the Python programming language
