Ingenious AI significantly improves navigation maps

While Google and other technology giants have their own dynamics to keep the most detailed and up-to-date maps possible, it is an expensive and time-consuming process. And in some areas, the data is limited. To improve this, researchers at MIT and Qatar Computing Research Institute (QCRI) have developed a new machine-learning model based on satellite images that could significantly improve digital maps for GPS navigation. The system, called "RoadTagger," recognizes the types of roads and the number of lanes in satellite images, even in spite of trees or buildings that obscure the view. In the future, the system should recognize even more details, such as bike paths and parking spaces.