Machine Learning ⇌ Science Colaboratory

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.
| Mission of the Machine Learning ⇌ Science Colaboratory
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| Team of the Machine Learning ⇌ Science Colaboratory