Automatic object recognition in images is currently tricky. Even if a computer has the help of smart algorithms and human assistants, it may not catch everything in a given scene. Google might change that soon, though; it just detailed a new detection systemthat can easily spot lots of objects in a scene, even if they're partly obscured. The key is aneural network that can rapidly refine the criteria it's looking for without requiring a lot of extra computing power. The result is a far deeper scanning system that can both identify more objects and make better guesses -- it can spot tons of items in a living room, including (according to Google's odd example) a flying cat. The technology is still young, but the internet giant sees its recognition breakthrough helping everything fromimage searches through to self-driving cars. Don't be surprised if it gets much easier to look for things online using only vaguest of terms.
At the core of Facebook’s “well-being” problem is that its business is directly coupled with total time spent on its apps. The more hours you pass on the social network, the more ads you see and click, the more money it earns. That puts its plan to make using Facebook healthier at odds with its finances, restricting how far it’s willing to go to protect us from the harms of over use. The advertising-supported model comes with some big benefits, though. Facebook CEO Mark Zuckerberg has repeatedly said that “We will always keep Facebook a free service for everyone.” Ads lets Facebook remain free for those who don’t want to pay, and more importantly, for those around the world who couldn’t afford to. Ads pay for Facebook to keep the lights on, research and develop new technologies, and profit handsomely in a way that attracts top talent and further investment. More affluent users with more buying power in markets like the US, UK, and Canada command higher ad prices, effectively...
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