 Hi, this is Peter Burris with another Wikibon action item quick take. Jim Kabilis, where are we with the next step in AI and deep learning? Yeah, well, there's a big to-do going on, a big buzz around reinforcement learning. I think that'll become ever hotter for working data scientists, building applications for robotics and the analytics. And so what I'm encouraged by is the fact that there are open frameworks coming into being development frameworks for reinforcement learning that are integrated to some degree with the investments that companies are making on deep learning. In particular, a fair number of frameworks now support TensorFlow or integration with TensorFlow. So I advise our listeners, especially the developers to look at and evaluate frameworks like TensorFlow Agents, Ray RLLB, RoboSchool, Machine Learning Agents and Coach. These are not well known yet, but I think these will become at least one of these will become a standard component of the data scientists workbench for building the next generation of robotics and other applications that are used for adaptive control. Excellent, Jim. This is Peter Burris with another Wikibon action item quick take.