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May 8, 2016
Scientists Can Now Identify Individuals Based on Brain Waves—And It’s 100% Accurate
Posted by Shailesh Prasad in category: neuroscience
Researchers discovered that people respond to stimuli differently enough that it is possible to create a unique signature, a brainprint, that could one day replace fingerprints in a number of instances.
For the longest time, the world has relied on fingerprints as a way to easily identify individuals. This is because a fingerprint is unique (and permanent) for each person—so what happens when someone’s fingerprint is stolen? This may sound a little farfetched, but it is easy enough to take a fingerprint from another, you just need to swipe a glass that they held.
And of course, you can’t grow a new finger to replace the print. This means that, when it gets compromised, it’s compromised forever. But now, researchers from Binghamton University have found a more efficient way to identify people—using brain waves.
May 8, 2016
Scientists Make Sea Water Drinkable, Produce 6.3 Million Litres A Day
Posted by Shailesh Prasad in category: space
From a whale song to a kiss, the time capsule sent into space in 1977 had some interesting content NASA placed a more ambitious message a…
May 8, 2016
Graphene electronic paper developed in China
Posted by Shailesh Prasad in category: materials
The world’s first graphene-based electronic paper for use in both hard and flexible displays for electronic devices has been developed in China.
Electronic paper display company Guangzhou OED Technologies announced it has developed the graphene-based e-paper, which it described as being more pliable and having higher light transmittance than existing types of e-paper.
As a result, graphene-based displays would be brighter but also cheaper, as graphene is based on the abundant element carbon, the firm said. Conventional e-paper is made of the rather costly rare metal indium.
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May 8, 2016
AI-On-A-Chip Soon Will Make Phones, Drones And More A Lot Smarter
Posted by Klaus Baldauf in categories: computing, drones, mobile phones, robotics/AI, transportation, wearables
Movidius’ Myriad 2 vision processing chip (Photo: Movidius)
The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.
That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.
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May 7, 2016
Italian Court Rules That Food Is A Human Right
Posted by Shailesh Prasad in category: food
The court ruled that those who are hungry in Italy have a fundamental right to access food — even if that have to resort to stealing.
May 7, 2016
Medical error is third biggest cause of death in the US, say experts
Posted by Karen Hurst in categories: biotech/medical, robotics/AI
This is concerning in what is being proposed in the US for doctor report errors and it’s whole timing. Why now? I mean why wait to report on this when this has been known about for many decades plus mistakes today are actually a lot less than they were 2 decades ago thanks to medical records, and the self-monitor/ medicated drip devices, etc. My guess is this is part of a huge push by some to replace doctors and medical teams with more AI which in the US patients have been blocking AI to treat them due to their own distrust of AI.
Now, if US Laws are in place requiring doctors to publish, report, etc. their errors for the 1st time in the US it does help build case to the public and conditions the public to rethink their position on AI.
I am just not buying “the experts’” report stats given that he has no official records to back up his report especially detail records for the past 40 years showing doctors openly reporting any mistakes they made in the 70s, 80s or 90s when the equipment was poorer plus medical records in many situations were not always digital and could be easily lost in the 70s and 80s.
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May 7, 2016
Oxford Scientists Made A Pocket-Sized, Portable DNA Sequencer
Posted by Shailesh Prasad in categories: biotech/medical, genetics, mobile phones
Oxford Nanopore Technologies is changing the course of genomics through the development of their small and portable DNA sequencer, the MinION, which makes of nanopore technology.
The handheld, portable tricorder from Star Trek was essentially able to scan and record biological data from almost anything, and it could do it anytime and anywhere. Recent technology has been pulling the device out of science fiction and turning it into reality, but none have come close to getting genetic information with the same portability…except for British company Oxford Nanopore Technologies.
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May 7, 2016
Disney’s 3D Printer Produces Models Almost Instantaneously Using Light
Posted by Shailesh Prasad in categories: 3D printing, biotech/medical
Disney Research has designed a new 3D printer that utilizes light on photosensitive resin so that models can be printed out as whole objects instead of by the layer, cutting down 3D printing from hours down to just minutes.
Disney Research has patented its design for “a nearly instantaneous” 3D printer that uses light to cure resin selectively to produce an entire model out of a stereolithography (STL) file all at once. Notably, this significantly cuts down printing time. Or at least, it will if it makes it to market.
“Presently, 3D printing is extremely slow and time consuming. For example, it may take several hours to print a single 3D object even if the 3D object is relatively small (e.g., several inches in diameter and four to 12 inches tall),” the patent stated. It continues, “the 3D printing process that uses conventional 3D printers such as an FFF-based 3D printer is limited in its speed by the speed of the mechanism moving the print head to each new position on a print layer.”
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