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.
A mapping startup based in Missoula, Mont., which allows users to download sophisticated offline topographic maps outlining public and private lands and a number of other features geared towards hunting, fishing and camping, has pulled in its first major outside funding. onXmaps has closed a $20.3 million Series A round led by Summit Partners. Bessemer Venture Partners, Millennium Technology Value Partners, Next Frontier Capital and NBCUniversal CEO Steve Burke also participated in the round. The company is calling the fundraise one of the biggest ever among startups based in Montana. onX Hunt app This is impressively the first bout of outside funding that the 70-person startup has ever taken since being founded in 2009. The company’s founder and CEO Eric Siegfried, an avid outdoorsman himself, had created a more basic program to integrate these maps with his own Garmin GPS. After finding his friends were interested in having a product like this too, he put down $27k of his...
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