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.
The Jetsons presented a highly entertaining vision of what homes of the future would look like . The animated television show anticipated a world where humans would be able to do everything with just the push of a button. In many ways, the show turned out to be prophetic; today we have printable food, video chats, smartwatches and robots that help with housework — and flying cars may even be on the way. The challenge for companies is to integrate digital technologies in meaningful ways that enhance people’s homes and improve their lives. Many of the innovations to emerge over the past few years have been geared toward this kind of “push-button living.” Thanks to the rise of smartphones and the proliferation of cheap sensors, it is possible to make just about any household appliance “smart” and “connected.” By 2019, companies are expected to ship 1.9 billion connected home devices, bringing in about $490 billion in revenue. ...
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