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SciML seminar: Explainable AI for identifying regional climate change patterns

Date
, 2pm - 3pm
Category

Friday 13th January - 2-3pm - Online Speaker - Zack Labe, Princeton REGISTER TODAY The popularity of machine learning methods, such as neural networks, is rapidly expanding in nearly all areas of Earth science. The interest in these tools also coincides with a growing influx of big data and the need for high efficiency in...

Extending the capabilities of data-driven reduced-order models to make predictions for unseen scenarios

Date
, 11am
Category

Friday 18th November - 11am – 12:30 pm University of Leeds - Worsley Seminar Room 8.20Q Speaker - Dr Claire Heaney (Imperial College London) Abstract: This presentation will summarise a couple of research directions involving machine learning and computational science before focusing on the main topic of data-driven reduced-order models (DDROM). Often involving neural networks,...