A new algorithm can learn to identify objects all by itself. It doesn't need any human help. Will Google buy this one too?

Created by Brigham Young University researchers, this new recognition algorithm churns through images and will be able to identify objects. BYU explains:
Instead of trying to explain the difference, we show children images of the animals and they learn on their own to distinguish the two. Lee's object recognition does the same thing: Instead of telling the computer what to look at to distinguish between two objects, they simply feed it a set of images and it learns on its own.
The research shows that the algorithm performs better than most top object recognition algorithms developed by other universities and private companies. It has a 95-98 percent accuracy on data sets. Humans are slowly being phased out! [BYU via Slashgear]