Jon Khanlian will discuss nets-vs-automata.net, a distributed browser-based study using tensorflow.js to compare neural networks' pattern recognition with cellular automata. The project maps a six-dimensional performance metric landscape over a thirteen-dimensional training parameter space, with hundreds of trillions of possible experiments. The talk covers when nets perform well and when they don't, using the nets-vs-automata analysis page. Attendees can read the related arXiv paper ahead of time (1809.02942). Speaker: Jon Khanlian, actuary, programmer, and filmmaker.