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.
If you’ve always wanted to shoot video using the tools your parents probably used to film each other naked then Yves Behar and Kodak have a product for you. Super 8 was a cartridge-based film standard that became surprisingly popular after its release in 1965. It has remained popular with vintage film buffs and now Eastman Kodak is working on a $400 to $750 Super 8 camera for the modern auteur. Behars designed the camera to look retro and boxy while cleaving to a more material design aesthetic. The problem? Film is hard to get these days and even with the support of a Super 8 subculture it will be hard to see just who is going to produce this stuff profitably. Heck, the WSJ expects it to cost $50 just to process the stuff. However stranger things have happened – Holga, for example – and the market is a strange mistress. “This is no longer the classic script of a war of digital versus analog,” Kodak CEO Jeff Clarke. “What it really is now is the co...
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