I would guess that if you just think of Neural Networks as powerful function approximators capable of modeling quite non-linear functions, you might be able to find some nice applications.
@ACuriousMind actually explainable AI is much harder for neural-types of ML. Traditional ML algorithms tend to be surprisingly explainable... e.g. linear regression is pretty easy to explain
@tpg2114 you ever see this paper on Super Slo-Mo? It uses optic flow to create interpolation frames to convert regular video into super slow-motion video :D
Skynet is srsly becoming reality man...yesterday I saw another article about how the army is using ML on infrared imagery to do facial recognition in the dark