Seminar Series - Introduction to Machine Learning for the Physical Sciences. Professor Lauren E. Hayward, Perimeter Institute for Theoretical Physics.

Tuesday, June 30 at 2 p.m. via Zoom


Abstract: Machine learning has led to recent advancements in image processing, language translation, finance, robotics, musical and visual arts, and medical diagnosis. In this talk, I will introduce fundamental concepts such as neural networks, training, cost functions, and supervised vs. unsupervised learning. I will then examine how these concepts can be applied to research in the physical sciences and in particular to my own research, which involves characterizing phases and phase transitions in quantum many-body systems.