New Technologies for Conservation Science
06/02/2025
12:00 - 18:00A series of talks showcasing the relevance of mathematical modelling, machine learning, and robotics, to address some of the most pressing challenges in conservation science.
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
In his Inaugural Lecture, Professor Hamed Haddadi discusses his academic journey towards building networked systems.
Join the winter edition of Multi-Service Networks workshop, which will cover all aspects of networked systems.
This talk discusses sparse Principal Component Analysis (PCA) with Multiple Components.
