This article is biased as it only cites those couple of fields or problems where neural nets have not made significant improvements (even that part is shady as

This article is biased as it only cites those couple of fields or problems where neural nets have not made significant improvements (even that part is shady as I am not familar with that much). There have been significant improvements in the architecture of NNs in the last decade unlike what this article claims. This article doesn't mention anything about GANs or Autoencoders or VAEs or Flow or recent NLP advancements which are clearly way way better than what we have seen 5 years ago. Seems like the authors are living in 2015.