The neural network approach to parton distributions
  We introduce the neural network approach to global fits of parton distrubution 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. 
Andrea Piccione, Joan Rojo (for the NNPDF Collaboration)