It's easy to identify where a photo was taken if there's an obvious landmark, but what about landscapes and street scenes where there are no dead giveaways? Google believes artificial intelligence could help. It just took the wraps off of PlaNet, a neural network that relies on image recognition technology to locate photos. The code looks for telltale visual cues such as building styles, languages and plant life, and matches those against a database of 126 million geotagged photos organized into 26,000 grids. It could tell that you took a photo in Brazil based on the lush vegetation and Portuguese signs, for instance. It can even guess the locations of indoor photos by using other, more recognizable images from the album as a starting point.