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Cross-Disciplinary Machine Learning (Oxford XML) Cluster

Description

Founded in 2019, OxfordXML (where XML stands for Cross-disciplinary Machine Learning) is a research cluster based in Wolfson College that brings together researchers across different disciplines to share and learn about the impact of machine learning in their respective fields, such as physics, finance, social sciences, engineering, healthcare, and psychology.

It aims to provide a cross-disciplinary platform for researchers to come and share their experience on how machine learning or artificial intelligence has impacted on their research.

Furthermore, it hopes to provide an open community for researchers across different departments to connect and initiate interdisciplinary collaboration.

Offers funding

No, this infrastructure does not provide funding.

Founding year

2019

Contact details

University Of Oxford
University Offices
Wellington Square
Oxford
Oxfordshire
OX1 2JD
Website: https://users.ox.ac.uk/~ndog0178/XML/xml_index.html

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Categorisation

Type

  • University-based infrastructure
  • Cluster

Project Tags

  • Engineering tag
  • Health tag
  • Information studies tag
  • Psychology tag
  • Science tag
  • Technology tag

University affiliation(s)

University of Oxford
Oxford

Last modified:

2024-05-31 11:10:34

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