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.
Polymer scientists at the University of Akron in Ohio have developed a transparent electrode that could change the face of smartphones, literally, by making their displays shatterproof. In a recently published paper, researchers show how a transparent layer of nanowire-based electrodes on a polymer surface could be extraordinarily tough and flexible, withstanding repeated scotch tape peeling and bending tests. This could revolutionise and replace conventional touchscreens, according to Yu Zhu, UA assistant professor of polymer science. Currently used coatings made of indium tin oxide (ITO) are more brittle, most likely to shatter, and increasingly costly to manufacture. “These two pronounced factors drive the need to substitute ITO with a cost-effective and flexible conductive transparent film,” Zhu says, adding that the new film provides the same degree of transparency as ITO, yet offers greater conductivity. The novel film retains its shape and functionality after tests i...
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