Lifeboat Foundation: Safeguarding Humanity
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Category: mobile phones – Page 237

These people have got a leg — or an arm — up on the future.

Thanks to the latest advancements in medical science, amputees are becoming part robot, with awe-inspiring artificial limbs that would make Luke Skywalker jealous.

These new limbs come armed with microprocessors and electrodes that sense muscle movement. Others can be controlled by a smartphone app. People missing limbs often tried to hide their prosthetics, but these New Yorkers are showing them off with pride.
Rebekah Marine.

Rebekah Marine had the modeling bug from a young age, playing dress-up as a kid and getting her mom to take her to try out for modeling agencies in New York.

The one problem? She was born without part of her right arm.

“I was just kind of quickly denied from [agencies] based on my quote-unquote disability,” the 28-year-old says.

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Acer might be better-known for its range of laptops, tablets, phones, and similar consumer electronics, but it has quietly lifted the lid on a brand-new product line — an electric, all-terrain vehicle (eATV).

The Taiwanese tech titan unveiled the eATV “X Terran” (presumably that’s not meant to be ‘Terrain’) prototype at the eCarTech conference in Munich last week, but the company didn’t reveal too many details. We have, however, now obtained some photos of the vehicle.

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InVisage filmed in challenging, bright sunlight conditions to test the dynamic range, and shot fast moving subjects (RC race cars) to show off the global shutter. The resulting footage (below) is surprisingly cinematic, considering that the sensor is smartphone sized. (It’s also a bit soft, which the company chalked up to the sensor being an early prototype.) The tech looks intriguing, though the level of hype in the press release and making-of film is a bit over-the-top. Still, if it can be refined further — perhaps by a sensor company like Sony — it could result in strikingly better smartphone and camera images in the not-too-distant future.

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That was the year she learned to control a Nexus tablet with her brain waves, and literally took her life quality from 1980s DOS to modern era Android OS.

A brunette lady in her early 50s, patient T6 suffers from amyotrophic lateral sclerosis (also known as Lou Gehrig’s disease), which causes progressive motor neuron damage. Mostly paralyzed from the neck down, T6 retains her sharp wit, love for red lipstick and miraculous green thumb. What she didn’t have, until recently, was the ability to communicate with the outside world.

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Every time you log in to Facebook, every time you click on your News Feed, every time you Like a photo, every time you send anything via Messenger, you add another data point to the galaxy they already have regarding you and your behavior. That, in turn, is a tiny, insignificant dot within their vast universe of information about their billion-plus users.

It is probable that Facebook boasts the broadest, deepest, and most comprehensive dataset of human information, interests, and activity ever collected. (Only the NSA knows for sure.) Google probably has more raw data, between Android and searches–but the data they collect is (mostly) much less personal. Of all the Stacks, I think it’s fair to say, Facebook almost certainly knows you best.

They can use this data for advertising, which is contentious, I suppose; but much worse, it’s boring. What’s long been more interesting to me is the possibility of interpolating from this data, i.e. deducing from your online behavior things that you never explicitly revealed to Facebook–and extrapolating from it, i.e. predicting your reactions to new information and new situations. What’s interesting is the notion that Facebook might be able to paint an extraordinarily accurate pointillist picture of you, with all the data points you give it as the pixels.

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You might not be able to control the 7Bot robotic arm with your mind or your eyes, but at least it’ll only cost you around $350 — cheaper than an iPhone, its creators point out — to get one. Even better, you don’t need to know how to code to program it: just physically guide the arm or use a gesture control device like a Kinect or a Leap motion sensor to make it mimic your movements. In the video below the fold and on its Kickstarter page, you can see it doing calligraphy after a team member’s grandfather physically taught it how. The team also managed make it paint cherry blossoms and do basic mathematics, and we’ll bet you can teach it other productive things, like how to terrorize your cat.

If you prefer the more hands-off approach, you can remotely control it using its 3D visualization app on a computer. And, in case you’re more tech-savvy than the average user, you can program it using the C and C++ open source APIs the 7Bot team provides. In addition to the basic model, the team also offers packages with more features, such as a version with two arms and one that comes with a 3D printer, though they’re also understandably more expensive. According to its campaign page, rewards should start shipping out as soon as January 2016, but as always, it’s best not to treat Kickstarter and other crowdfunding websites as a store.

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Haptics is a growing field that aims to allow our bodies to control and ultimately ‘feel’ our virtual identity. Instead of using the theorized mechanism of a neural computer link, haptic tech attaches sensors and stimuli to our body. A report by research firm Markets and Markets thinks haptic technology, which could soon include something like a glove that let’s you move a hand in cyberspace, will be worth 30 billion by 2020.

Haptic technology, also known as kinesthetic communication, sounds like something out of science fiction. But products, like the vibrating cell phone, have been out for decades. And there’s more advanced systems on the way. That’s partly because of another hyped field: virtual reality. With pioneering virtual reality headsets like the Oculus Rift poised for release next year, the question becomes: How to make this experience even more immersive.

The tech is based on our sense of touch, a sensation that philosopher John Locke believed to be the most undeniable of all human senses. We believe something is real by touching it, a philosophy that haptic technology follows.

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A representation of a stable sequential working memory; different information items or memory patterns are shown in different colors. (credit: Image adopted from Rabinovich, M.I. et al. (2014))

Try to remember a phone number. You’re now using “sequential memory,” in which your mind processes a sequence of numbers, events, or ideas. It underlies how people think, perceive, and interact as social beings. To understand how sequential memory works, researchers have built mathematical models that mimic this process.

Cognitive modes

Taking this a step further, Mikhail Rabinovich, a physicist and neurocognitive scientist at the University of California, San Diego, and a group of researchers have now mathematically modeled how the mind switches among different ways of thinking about a sequence of objects, events, or ideas that are based on the activity of “cognitive modes.”

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