Techniques and methods

We offer expert advice in a number of techniques and methods including models, Bayesian statistics in AI, optimization and inverse problems, mathematical applications and other techniques.

If you would like to access our AI expertise, please contact our Business Development team using the details at the bottom of this page.

Models

Neural networks including generative adversarial neural networks (vulnerabilities in AI systems), neural ODEs
Large Language Models, diffusion-based generative models, Gaussian process models
Statistical modelling, dynamic modelling, (more broadly) datasets with complex temporal and/or spatial structures

Bayesian statistics in AI

Bayesian data analysis/probabilistic reasoning
Bayesian inference
Bayesian deep learning
Bayesian networks

Optimization and inverse problems

Stochastic optimization
Diffusion-based optimization
Inverse problems in computational imaging, including satellite imaging, object recognition, computer vision, (more broadly) combining machine learning with optimization

Mathematical applications

Data assimilation
Uncertainty quantification
Imaging
Pattern recognition

Other techniques

Quantization and pruning
Reinforcement learning
Parameter-efficient fine-tuning (PEFT)
Weights transfer in deep neural networks
Graphical techniques including decision trees
Automatic differentiation (links to neural ODEs)
Singular learning theory

Contact us

To discuss any opportunities with us, please email our Business Development team:

Email the Business Development team

Many of our researchers are involved in centres, units and institutes with an AI focus. If you do not see a particular technique listed, or are unsure which method you need, our Business Development team will be able to connect you with a relevant expert.

This article was published on 2025-04-22