One of the fundamental hurdles that artificial intelligence has yet to overcome is in the realm of pattern matching. Neural networks in general and the human mind specifically are fabulous pattern matching machines. Neural networks work on a problem in parallel, and consequently are ideally suited to the process of quickly recognizing a match to a phenomenon from very large set of possible matches that it has previously been trained to remember.
However, brute processing force, combined with modern algorithms have now developed into machine recognition superior to our own, and in a field where we are he most highly specialized in the task: facial recognition.
machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995. Indeed, the best face-recognition algorithms now perform more accurately than most humans can manage.
What’s more while human recognition is heavily weighted towards recognizing the faces of those we are most familiar with, modern facial recognition algorithms are equally accurate with all faces – faster then we are capable of recognizing those we are closest to.
