Machine Learning in Science is a colloquium series run by researchers at the University of Glasgow, with themes in machine learning that are applicable to physical sciences.

Now more so than ever, it is important that we ML researchers keep our sights fixed on high quality work, and stay up to date with the state of the art. Therefore, this year we are holding our first ever conference, in person, in the newly built Advanced Research Centre!

The aim is to bring scientists and programmers to the same table and encourage free discussion about how ML is being used for scientific discovery and how science can shape the future of artificial intelligence with scientific informed models.

We will hold 3 sessions, each 2 hours long: one in Generative Modelling, one in Time Series analysis and one in Science Informed Models.

Follow us to stay tuned:

• Slack Community: https://join.slack.com/t/glasgowuniver-ocy8095/shared_invite/zt-f3cstte8-MB54XfMedOzlle3rjDZDZA
• Twitter: https://twitter.com/MLinScience

For any questions, please contact scieng-mlinscience@glasgow.ac.uk.

We look forward to seeing you there!