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. It’s the latest addition to an increasing list of similar projects, following the likes of both Pinterest and, yes, Silicon Valley’s actually real hot dog-identifying app. 2017 is apparently the year of using the major advancements in AI to identify food.
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...