Foundational AI

Central to 'AI for people and planet' is foundational AI, an important engine of progress and a world-leading strength at UCL.

Its connections to application areas are critical to its success. Without continued progress in core AI technologies, the transformative potential of AI will be diminished.

Find out more about some of the key foundational AI research taking place at UCL below.
 

Foundational algorithms

Centre for Artificial Intelligence

The Centre for Artificial Intelligence brings together researchers from across Computer Science with a shared interest in fundamental challenges in Machine Vision, Machine Learning, Machine Reading and Knowledge Representation. Research areas include the creation of new AI technologies and advice on the use of AI in science, industry and society.

Centre for Computational Statistics and Machine Learning

The Centre for Computational Statistics and Machine Learning brings together statistics, machine learning, and links with a broad range of applications, including neuroscience, astrophysics, biological sciences, and complexity science.

Computational Statistics

Computational Statistics research at UCL advances the theory, methodology, algorithmic development and application of simulation-based approaches, such as Markov Chain Monte Carlo, to statistical inference.

Gatsby Computational Neuroscience Unit

The Gatsby Computational Neuroscience Unit (GCNU) conducts foundational research into the algorithms that underlie learning, action and perception in machines and in brains.

Machine learning and data science

Centre for Data Science

The Centre for Data Science develop new mathematical and statistical theory, and quantitative and computational methods, to help make sense of large, complex data sets.

Intelligent Systems Group

The Intelligent Systems Group conduct research into the theory and application of artificial intelligence. Research areas include computational statistics, machine learning, applications of machine learning to natural language processing, applications of machine learning to medical image processing, probabilistic reasoning, and computational models of argument.

Knowledge, Information and Data Science Group

The Knowledge, Information and Data Science Group (KIDS) Group research formal knowledge organisation and representation, knowledge-based automated reasoning including data science and machine learning.