Nature Reviews Physics: Machine learning in astrophysics and cosmology

Learn more Watch now Add to Calendar 09/21/2022 04:00 PM 09/21/2022 05:10 PM Europe/London Nature Reviews Physics: Machine learning in astrophysics and cosmology Location of the event
Wednesday 21 Sep 2022
Time: 16:00 - 17:10

Event type

Virtual seminar

Audience type



Machine learning is no longer restricted to data analysis, currently being used in theory, experiment and simulation ⁠- a sign that AI is becoming pervasive in all traditional aspects of research. But are theorists, experimentalists and computational scientists aware of each other’s problems, and the solutions developed to tackle them? Are researchers working in different areas of physics aware of developments in other areas?

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Chair - Benjamin Joachimi 

About the event

With the bigger and better observatories and state-of-the-art large-scale simulations, researchers in astrophysics and cosmology need to handle and analyse ever-growing volumes of data. These communities have been pioneering new data analysis methods, planning infrastructure to support the huge data-pipelines and building a community approach to tackling their problems. What can the wider physics and AI communities learn from their experience and how can they contribute to the ongoing efforts?



Professor Ben MacArthur

Director of AI for Science and Government, Deputy Programme Director for Health and Medical Sciences, and Turing Fellow

Professor Jonathan Rowe

AI for Science and Government Programme Chair, Programme Director for Data Science for Science, and Turing Fellow