Natural Language Processing: Particularly the architectures that help us model human language.
Reinforcement Learning: How we can leverage RL algorithms to automate vehicles (e.g. drones or cars)
Model Augmentation and Efficiency: ways to make models better at what they do, and how we can make them more efficient in production.