Modern scientific and data collection procedures make it possible to collect data that more closely resemble curves and surfaces than finite dimensional vectors of observations.  These developments have motivated substantial work on techniques to analyze functional data.  In this informal talk, I will introduce the notion of nonparametric functional regression and describe the current mathematical results.  It can easily be seen that current techniques are inadequate and leave substantial room for improvement.