Title: A three-pronged approach to using machine learning in topology

Abstract: With recent breakthroughs in AI making headlines, it's natural to ask what role machine learning will play in mathematics. In this talk I will outline three broad modes through which machine learning can be applied to the field of pure mathematics research. The main examples I will use come from the fields of knot theory and low-dimensional topology. These applications will range from approaches that have already been successfully implemented to more speculative works-in-progress.