Overview

One f th m t w rful nd compelling types of AI is computer v n wh h you've lm t surely x r n d n any numb r f ways w th ut v n kn w ng. H r ' a look t what t , h w t w rk , and why t' w m ( nd nl going to get better). C m ut r v n th field of m ut r n that f u n r l t ng parts f th complexity f th human v n system nd n bl ng computers t d nt f and process bj t n images nd v d n th m way that hum n d . Until r ntl , m ut r v n nl worked in limited t . Th nk t dv n in rt f l intelligence and nn v t n in d learning nd n ur l n tw rk , the f ld h been bl t t k great l n r nt r nd has b n bl to ur humans n m t k r l t d t detecting nd labeling bj t . One f the dr v ng f t r b h nd th gr wth f computer v n th amount f d t w g n r t t d that th n u d to train and m k m ut r vision better. Al ng w th a tr m nd u m unt f v u l d t (m r th n 3 b ll n m g r h r d online v r day), th m ut ng w r r u r d t analyze the d t is n w bl . A the f ld f m ut r v n h gr wn with n w h rdw r nd algorithms so has th ur r t f r bj t d nt f t n. In less than a decade, today's systems have r h d 99 r nt ur fr m 50 percent m k ng th m m r ur t than humans t quickly r t ng t v u l n ut .

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