The neural network approach to parton fitting
  We introduce the neural network approach to global fits of parton distribution functions. First we review previous work on unbiased parametrizations of deep-inelastic structure functions with faithful estimation of their uncertainties, and then we summarize the current status of neural network parton distribution fits. 
Joan Rojo and Andrea Piccione (for the NNPDF Collaboration)