Join our Virtual Open Day to learn more about the MSc in Artificial Intelligence Applications and Innovation.
This talk discusses verification of neural systems in safety-critical applications.
A series of talks showcasing the relevance of mathematical modelling, machine learning, and robotics, to address some of the most pressing challenges in conservation science.
This talk will provide a brief overview of Optimal Transport (OT) and its uses in the development of Machine Learning applications, with the aim of encouraging the adoption of the OT toolbox by those using AI/ML tools in their scientific research and demonstrations of the main OT algorithms in the form of Jupyter Notebooks.
This workshop aims to bring together researchers in stochastic analysis, statistics and theoretical machine learning for an exchange of ideas at the forefront of the field. The
