My name's Ben. I'm a 22 year-old recent grad living in Seattle. I've been told my gayness is only matched by my enthusiasm.
I post my favorite news from all around the web.
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Project Tango is an experimental new smartphone with built-in 3-D sensors that, according to Google, allow wielders to digitally map the world around them. Its spatially aware motion-sensing powers work using a “revolutionary” new Myriad 1 vision processor, which harvests a fraction of the computing power needed for something like, say, Microsoft’s Kinect. It’s like cramming a 3-D scanner into a Pop Tart.
Google announces Project Tango, a smartphone that can map the world around it
Google says that the phone will learn the dimension of rooms and spaces just by being moved around inside of them — walking around your bedroom, for example, would help the phone learn the shape of your home.
The graph above tells maybe the most interesting—and definitely the most surprising—story of the past year of digital media.
It shows two years of referrals from Facebook and Google to the Buzzfeed Partner Network, a collection of websites (including this one!) that share their traffic stats with Buzzfeed. It quantifies what so many publishers have experienced: a massive surge of traffic from Facebook, unparalleled in its regular, day-after-day size and scope.
Google’s Machine Learning Algorithms Outpacing Engineers’ Ability to Understand How they Work
“Google no longer understands how its “deep learning” decision-making computer systems have made themselves so good at recognizing things in photos.
What stunned [Google Software Engineer] Quoc V. Le is that the software has learned to pick out features in things like paper shredders that people can’t easily spot – you’ve seen one shredder, you’ve seen them all, practically. But not so for Google’s monster.
Many of Quoc’s pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. The computer system has a greater success rate, and he isn’t quite sure how he could write a program to do this.
Google researchers can no longer explain exactly how the system has learned to spot certain objects, because the programming appears to think independently from its creators, and its complex cognitive processes are inscrutable. "