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.
Instagram has taken down content posted by Russian opposition leader Aleksei Navalny under pressure from a government agency, while YouTube has yet to do so. Navalny and others have criticized Instagram for complying to what they call a politically motivated move to silence him. The issue is around a video accusing a Russian official, deputy prime minister Sergei Prikhodko, of accepting a bribe from prominent businessman Oleg Deripaska — in the form of a trip on a yacht populated with upscale escorts. It uses footage posted to Instagram (and later removed) by one of the alleged escorts. Deripaska sued in a local court, which turned around and ordered that the material be removed web-wide, recruiting the Russian communications regulator Roskomnadzor to enforce the order. The deadline was yesterday. Among the sites and services complying with the order to remove the content in question is Instagram, which upon doing so was the target of swift rebuke from Navalny and his supporte...
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