An open problem in knot theory is whether there exists a universal knot invariant capable of uniquely identifying the topology of any given embedding of S^1 in 3-space. This talk will cover a recent advance using particular features of a given embedding and machine learning techniques to identify knots of up to 10 crossings with up to >95% accuracy.
