Deep convolutional neural networks have taken the world of artificial intelligence by storm. These machines now routinely outperform humans in tasks ranging from face and object recognition to playing the ancient game of Go.
The irony, of course, is that neural networks were inspired by the structure of the brain. It turns out that there are remarkable similarities between the broader structure of the deep convolutional neural networks behind machine vision and the structure of the brain responsible for vision. One of these evolved over millions of years, the other came about over the course of just a few decades. But both seem to work in the same way.
