I'm excited for self-driving cars and ML/AI tools that help professionals (e.g., drug discovery, treatment). The Keras lead developer wrote a post called "The

I'm excited for self-driving cars and ML/AI tools that help professionals (e.g., drug discovery, treatment). The Keras lead developer wrote a post called "The future of deep learning"[1]. The podcast Partially Derivative has a good summary of it[2]. On the implementation side, I'm looking forward to distribution. Computers are all around us, sitting by idly – how can we put them to use? How can we make them secure? We're starting to see integration of ML models into mobile systems (with Apple's .mlmodel and ARKit). [1]:https://blog.keras.io/the-future-of-deep-learning.html https://blog.keras.io/the-future-of-deep-learning.html [2]:http://partiallyderivative.com/podcast/2017/07/25/the_future_of_deep_learning http://partiallyderivative.com/podcast/2017/07/25/the_future... [3]:http://papers.nips.cc/paper/4390-hogwild-a-lock-free-approach-to-parallelizing-stochastic-gradient-descent http://papers.nips.cc/paper/4390-hogwild-a-lock-free-approac...