I think the goal is to incorporate modeling uncertainty and utilizing powerful bayesian inference techniques with deep learning. I understand the terminology so

I think the goal is to incorporate modeling uncertainty and utilizing powerful bayesian inference techniques with deep learning. I understand the terminology sounds gimmicky, but the techniques are very useful and used in current research. An example of research of utilizing probabilistic inference with deep learning is trying model the uncertainty of CNN by approximating the uncertainty distribution of weights in dropout layers. If interested, google work done by Alex Kendall and Yarin Gal.