In this video, we'll guide you through pioneering research that demonstrates how data-driven machine learning can have a large impact in accelerating astrophysics. Learn how a deep learning model was used to temporally evolve the dynamics of gas accreting onto a black hole and how researchers trained and forecasted such a spatiotemporally chaotic system using a convolutional neural network.
Speaker: Dr. Roberta Duarte Pereira
Watch more:
Watch all the Women in ML Symposium 2022 Sessions → https://goo.gle/WiML22-all
Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
#WIMLsymposium