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 Computex conference in Taipei, chipmaker Intel has revealed a fanless mobile PC reference design using the first of its next-generation 14nm "Broadwell" processors. The 2 in 1 pictured here is a 12.5" screen that is just 7.2 mm thick with keyboard detached and weighs 670 grams. The Surface Pro 3 – for comparison – is 9.1 mm thick and weighs 800 grams. It includes a media dock that provides additional cooling for a burst of performance. The next-generation chip is purpose-built for 2 in 1s and will hit the market later in 2014 . Called the Intel Core M, it will be the most energy-efficient Intel Core processor in the company's history with power usage cut by up to 45 percent, resulting in 60 percent less heat. The majority of designs based on this new chip are expected to be fanless, with up to 32 hours of battery life, offering both a lightning-fast tablet and razor-thin laptop. Intel is also delivering innovation and performance for the ...
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