This is project Adam an object recognition technology, which uses machine learning and artificial intelligence. The goal is to enable software to visually recognize any object.
Culling a massive dataset of 14 million images from the Web, made up of more than 22,000 categories drawn from user-generated tags, that data was used to train neural network made up of more than two billion connections. This scalable infrastructure is twice more accurate in its object recognition and 50 time faster than other systems.
With more data, you could take a picture of a meal and get its nutritional information. Or, snap a photo of an unusual skin condition and get an accurate diagnosis. Or if you’re out in the woods and need to know which plants are poisonous and which are edible, this is the technology that could help you do that.
Source: Microsoft Blog