After more than a year of silence, Google’s wildest idea about smartphones is starting to come true.
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BOSTON, May 19 (UPI) — Engineers at MIT and Harvard have designed a tiny bee-like robot capable of pausing mid-flight to perch on a variety of objects before once again taking to the air. The robot uses static electricity to momentarily cling to the underside of objects.
Robots designed for aerial surveys and related observational tasks, like quadcopters, are currently limited by short flight times. They tend to run out of battery rather quickly. While perching won’t extend a drone’s actual time in the air, the technology could empower UAVs to employ their power more strategically — periodically taking a moment to rest their wings, or blades.
Researchers tested their technology on RoboBee, a bug-like flying robot no bigger than a quarter. A small jolt of static electricity emitted through a tiny foam patch on the bee’s head allows it to land on and adhere to the underside of a plant or to the ceiling.
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A new cheaper way in creating magnets.
US researchers have created a powerful permanent magnet out of iron and nitrogen, two plentiful cheap materials, as part of a programme to cut the need for ‘rare earth’ metals.
It is only a tiny sample, a film 500nm thick, but it is the real thing.
“To the best of our knowledge, this could be the first experimental evidence of the existence of a giant saturation magnetisation, an obviously large coercivity, with a magnetic energy product of up to 20 MGOe, in a bulk-type FeN sample.” said the team in ‘Synthesis of Fe16 N2 compound free-standing foils with 20MGOe magnetic energy product by nitrogen ion-implantation’, a Nature Scientic Reports paper written by a team from the University of Minnesota, Los Alamos National Laboratory and Oak Ridge National Laboratory.
Math isn’t everyone’s strong suit, especially those who haven’t stretched that part of their brain since college. Thanks to the wonders of image recognition technology, we now have Mathpix, an iOS app that lets you point your phone camera at a problem and calculates solutions in seconds.
The interface looks like any standard camera app: simply drag the on-screen reticle over the equation and the app solves it and provides graph answers where appropriate. More useful is a step-by-step guide offering multiple methods to reach a solution, making this a bona fide educational tool. It uses image recognition to process problems and pings its servers to do the mathematical heavy lifting, so it likely requires an internet connection to work.
Mathpix was envisioned by Stanford PhD student Nico Jimenez, who was advised by Stanford grad Paul Ferrell. The app’s other developers are high schoolers Michael Lee and August Trollback, which is impressive for an app that claims to be the first to visually recognize and solve handwritten math problems.
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New spin on all things that are Singular. Hmmm — so if Singularity becomes a religion; is Ray Kurzweil its God?
A colleague forwarded John Horgan’s recent Scientific American article, “The Singularity and the Neural Code.” Horgan argues that the intelligence augmentation and mind uploading that would lead to a technological singularity depend upon cracking the neural code. The problem is that we don’t understand our neural code, the software or algorithms that transform neurophysiology into the stuff of minds like perceptions, memories, and meanings. In other words, we know very little about how brains make minds.
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