Archive for the ‘Researchers’ Category
It looks like a team of UC Berkeley researchers led by mechanical engineering professor Xiang Zhang (pictured) have found a way to squeeze light into tighter spaces than ever though possible, which they say could lead to breakthroughs in the fields of optical communications, miniature lasers, and optical computers.
The key to this new technique, it seems, is the use of a “hybrid” optical fiber consisting of a very thin semiconductor wire placed close to a smooth sheet of silver, which effectively acts as a capacitor that traps the light waves in the gap between the wire and the metal sheet and lets it slip though spaces as tiny as 10 nanometers (or more than 100 times thinner than current optical fibers).
That’s apparently as opposed to previous attempts that relied on surface plasmonics, in which light binds to electrons and allows it to travel along the surface of metal, which only proved effective over short distances.
While all of this is still in the theoretical stage, the researchers seem to think they’re on to something big, with research associate Rupert Olten saying that this new development “means we can potentially do some things we have never done before.
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Google creates PageRank for images
When Google introduced its PageRank algorithm long ago it allowed web searchers to have a metric they could look at and easily determine the authority of a webpage. Google researchers are now saying they have developed technology to do for images what PageRank did for web pages.
The New York Times reports that a pair of Google scientists presented a paper called “PageRank for Product Image Search” at the International World Wide Web Conference in Beijing. The software technology is being called VisualRank and is at its core an algorithm that blends techniques for recognizing images and technology for weighting images and ranking them based on what looks the most similar.
Google already has an image search engine that is widely held to be one of the largest image databases online. The current image database pulls images based on clues from text associated with each image. This for instance is why you might get an image of President George W. Bush if you did an image search for Republican.
What the paper the Google researchers presented proposes is a method to actually rank images based on things in the image. Technology has been in place to recognize faces in images for a while, but identifying other things by computer in an image that humans can identify at a glance like a car or mountain has lagged.
Google researchers Shumeet Baluja and Yushi Jing told the New York Times, “We wanted to incorporate all of the stuff that is happening in computer vision and put it in a Web framework.”
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