Small Numbers, Huge Changes

In a recent inter­view, Sun­dar Pichai of Google dis­cuss­es improve­ments in the accu­ra­cy of their voice recog­ni­tion: Just in the last three years, we have tak­en things like error in word recog­ni­tion down from about 23 per­cent to 8 per­cent. That’s the dif­fer­ence between mis­un­der­stand­ing one word in four, to one word in twelve; the dif­fer­ence between com­plete­ly […]

A conversation with a bot

It’s approach­ing 3 AM on Christ­mas Day in 2013, and a South Kore­an teenage girl who goes by the Twit­ter han­dle @jjong_gee texts her friend, Jun­myun, to con­fess a per­son­al secret. She’s depressed, and she needs sup­port. “There was a man named Osho who once said ‘don’t be too seri­ous, life is like a mov­ing pic­ture,’” replied Jun­myun. “If you […]

An interview with Andrew Ng

The Huff­in­g­ton Post series, Sophia, brings ‘life lessons from fas­ci­nat­ing peo­ple’. Their lat­est inter­view is with Andrew Ng, a Stan­ford Uni­ver­si­ty pro­fes­sor, co-founder of Cours­era, and key mem­ber of the deep learn­ing teams at first Google and now Baidu. I real­ly like some of the insights in his inter­view, the prac­ti­cal­i­ty with which he treats inno­va­tion and […]

On filters and feelings

An inter­est­ing arti­cle from Wired on a recent study into how peo­ple use fil­ters on their dig­i­tal pho­tographs. “Seri­ous hob­by­ists” use fil­ters only to cor­rect a problem—say, cor­rect the expo­sure. “More casu­al pho­tog­ra­phers” are more like­ly to manip­u­late their images with fil­ters or adjust­ments that make them appear more “arti­fi­cial,” accord­ing to the study. I used to […]