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The Future of Machine Learning - panel discussion

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Rhodes House

South Parks Road

Oxford

OX1 3RG

United Kingdom

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Join distinguished expert panellists and the 2019 Schmidt Science Fellows to discuss and debate the future of machine learning.

About this Event

The Future of Machine Learning – exploring implications for science and society

Panellists and speakers to include:

  • Professor Charlotte Deane, Head of the Department of Statistics, University of Oxford
  • Professor Ard Louis, Professor of Theoretical Physics, University of Oxford
  • Professor Heather Harrington, Turing Fellow, University of Oxford

How has machine learning accelerated scientific discovery and provided new insights in areas such as drug discovery, the workings of biological processes, and neural networks? How much further the machine learning revolution can take us and what will it mean for science and society?

Machine learning or artificial intelligence seems to be proposed as both the answer to every scientific and social question and an omnipresent threat. What could the future really hold? What is the potential for machine learning to revolutionise scientific practice and shape our world?

Join distinguished expert panellists and the 2019 Schmidt Science Fellows to discuss and debate the future of machine learning and to separate fact from myth.

We expect a lively and stimulating discussion, with the audience encouraged to ask questions and join the debate.

Schmidt Science Fellows, in partnership with the Rhodes Trust, aims to develop the next generation of science leaders to transcend disciplines, advance discovery, and solve the world’s most pressing problems.

This event is free to attend. It forms part of the Schmidt Science Fellows Global Meeting Series. For more information about Schmidt Science Fellows see: www.schmidtsciencefellows.org

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Rhodes House

South Parks Road

Oxford

OX1 3RG

United Kingdom

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