Computer scientists have been modeling networks after the human brain and teaching machines to think independently for years, completing tasks like document reading and speech cues. Image recognition is another useful chore for the neural networks, and Microsoft Research has just offered a peek at its recent dive into the matter. Project Adam is one of those deep-learning systems that's been taught to complete image-recognition tasks 50 times faster and twice as accurate as its predecessors. So, what does that mean? Well, instead of just determining the breed in a canine snapshot, the tech can also distinguish between American and English Cocker Spaniels. The team is looking into tacking on speech and text recognition as well, so your next virtual assistant may not only wrangle your schedule and commute, but also could constantly learn from the world that you live in.