The Machine Learning ⇌ Science Colaboratory is composed of a passionate team of researchers and engineers working to increase the impact of machine learning (ML) on the sciences and the humanities.
Our main activities are
- to train, advise and collaborate with domain scientists, seeking opportunities to help raise their power for discovery with ML,
- to collaborate with ML researchers to develop, adapt and disseminate state-of-the-art ML methods for use in the scientific endeavour, e.g. emphasising qualities such as interpretability and uncertainty evaluation.