Plain vanilla convnets are not very complex. If you look at recent papers on Deep Reinforcement Learning with extra modules or Generative Adversarial Networks f

Plain vanilla convnets are not very complex. If you look at recent papers on Deep Reinforcement Learning with extra modules or Generative Adversarial Networks from DeepMind and the likes, the complexity is much higher than much of CS used in industry and it is increasing rapidly. More importantly, the performance of many AI implementations could be improved with the increased sophistication, so the demand for such complexity is there for businesses in competitive sectors. Any examples of topics in other fields of CS in practical use that are more complex than recent AI advances with potential practical applications?