This MIT neural network translates pictures of food into recipes

Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a neural network that can, in theory, "look" at an image and find the recipe for the food that's depicted. The CSAIL team calls the network Recipe1M, and it's described in detail in a paper that was published this week. Simply put: the researchers fed the AI more than 1 million recipes and nearly 1 million images. Over the course of that training, it made and refined associations between what goes into a recipe and how that relates to a food photo. The result is an interface called Pic2Recipe that's reminiscent of the lo-fi goofy TensorFlow projects we've seen, like edges2cats or Pix2Pix.