We propose that exciton-polariton lattices can be used as a central component of neural networks in the so-called reservoir computing architecture. Theoretical estimates demonstrate orders of magnitude improvement of processing speed with respect to state-of-the-art realizations thanks to the ultrafast excitonic nonlinearity. This research has been published in Physical Review Applied.