Google Deepmind for Navigation

Another kind of problem, which may well have applications in industry.

Google DeepMind's AI Learns Human Navigation Skills 
In The Guardian  By Ian Sample

Google's DeepMind unit has developed an algorithm that outperforms people in solving a virtual maze, after noting that it spontaneously generated electrical activity similar to that of "grid cells" governing human navigational skills. The scientists first built a deep neural network and taught it navigation fundamentals, inputting the types of signals that encode speed and direction in the brains of foraging rats. Feedback caused the network to improve its predictions of its location as it navigated a virtual environment. The team observed that 25 percent of the artificial neurons in one network layer had begun firing like organic grid cells. They then assembled a more refined network and applied it to the maze game. Tests revealed that the algorithm not only employed grid cells for position tracking, but also to formulate the direction and distance to its objective so it could follow the most direct pathway.   .. "