Symmetry meets AI

We explore whether Neural Networks (NNs) can {\it discover} the presence of symmetries as they learn to perform a task. For this, we train hundreds NNs on decoy task} based well-controlled Physics templates, where no information symmetry is provided. use output from last hidden layer all these NNs, projected fewer dimensions, input for classification task, and show that had indeed been identified by original NN without guidance. As an interdisciplinary application this procedure, identify level in artistic paintings different styles such those Picasso, Pollock Van Gogh.