Artificial intelligence and data analytics

In our digitised society, there is a growing desire and necessity to gain a deeper understanding of the vast amounts of data generated, as well as the potential real-world solutions artificial intelligence can provide.

Artificial Intelligence (AI) looks at how computers can perform tasks previously only possible for humans. Data Analytics focuses on how to capture, analyse, model and process large amounts of data from multiple sources so we can detect patterns and harness what we learn.

Within our Artificial Intelligence and Data Analytics section, we have created space for curiosity-driven research.

We explore potential solutions to ambitious, far-reaching challenges which will, in the future, bring benefits to healthcare, security, service industries and many other sectors.

Our research aims to further enable the responsible use of AI, by developing models that are more transparent or explainable, and by developing a better understanding of the limitations of current systems.

Our research also explores how data-driven approaches can be combined with knowledge-driven approaches, to develop systems that can reason in more systematic ways and can take advantage of human expertise.

Our primary focus in our research labs is on:

knowledge representation and reasoning (looking at how computer systems can understand and utilise knowledge to solve complex real-world problems)

natural language processing (better understanding how computers might deal with language)

data analytics and machine learning (looking at how we capture knowledge about the world that computers can process, understand, and apply to problems)

We are particularly interested in work that combines two or more of these focus areas.