Knowing what features represent is an advantage but isn't necessary. At least that's what nn research shows. But currently a lot of data of required for good representation learning. Ensembling also works, or can work, and it seems that's what they're doing. Although it doesn't look like datasets are large enough for NNs out that ensembles are large enough for good prediction.