Deep Learning

  • If you don't recognize a fish you catch, how do you know if you can keep it? With a quick scan of your catch, a new app called FishVerify can identify a species, bring up information on its habitat and edibility, and using the phone's GPS, tell you about its size and bag limits in that area.
  • ​Kids can pick up new words pretty quickly – just ask any parent who’s accidentally sworn in front of them. To better understand early learning, a new study tested the language skills of both children and robots, and found that kids use a robotic technique that may not be based on conscious thought.
  • Science
    ​When you see a photo of a dog bounding across the lawn, it's pretty easy for us humans to imagine how the following moments played out. Well, scientists at MIT have just trained machines to do the same thing.
  • Choosing the ideal gift may soon be outsourced to artificial intelligence: by answering a few questions about the recipient, a service called ebo box can pick out the right gift for them, using deep learning algorithms to scan market data and look for connections that humans might miss.
  • ​The ancient Egyptian god Horus lost his eye in a fight, before having it restored. A symbol of restoration, it's the perfect name for a new wearable device for visually-impaired people, which describes a user’s surroundings to help them avoid obstacles, recognize faces and objects, and read text.
  • Science
    Smallhold farmers in developing nations may lose entire crops without ever knowing what was wrong with them. That's why scientists are now creating software that could be incorporated into an app that identifies crop diseases, based on user-supplied smartphone photos. ​
  • ​Say you’re flicking through a lifestyle magazine, or photos of a living room, and you spot a lamp or a chair that would go great in your own home. But how do you find that exact one? A new system can run photos of furniture through a neural network and identify the make, model and where to buy it.