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Inviting Machines Into Our Bodies

Inviting Machines Into Our Bodies | Science News | Scoop.it

In what amounts to a fairly shocking reminder of how quickly our technologies are advancing and how deeply our lives are being woven with networked computation, security researchers have recently reported successes in remotely compromising and controlling two different medical implant devices.


More on IMPLANTS: http://www.scoop.it/t/science-news?tag=implants


Source: http://goo.gl/Zcqq6

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“The Machines Have Already Taken Over”: Seven Questions with Brad Feld

“The Machines Have Already Taken Over”: Seven Questions with Brad Feld | Science News | Scoop.it

The buzz around Facebook’s IPO tomorrow got me thinking about the future of web startups, and of entrepreneurship more generally. To get some clues, I reached out to Brad Feld—a managing director at Foundry Group, a cofounder of TechStars, and an avid marathoner (he has already run 21 marathons), among other titles—who was recently ranked the “most respected venture capitalist.”

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The Singularity and Its Discontents

The Singularity and Its Discontents | Science News | Scoop.it

The concept of “the Singularity,” a moment in the not-too-distant future when we will manage to create superhuman intelligence, either in machine form or by augmenting our own brains with biotechnology, is particularly effective at inspiring this kind of technophobia or technophilic zealotry. Mathematician and Science Fiction author Vernor Vinge coined the term in a 1993 article – analogizing our inability to envision a post-A.I. world to modern physics’ inability to explain what happens at the center of a black hole. In the hands of Futurist Ray Kurzweil and friends, the Singularity has evolved into an inspirational movement with its own Institute and University, both dedicated to hastening the coming of the big event and ensuring that its outcomes are beneficial – rather than disastrous – for mankind.

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Machines Learning to Read Our Minds | IdeaFeed | Big Think

Machines Learning to Read Our Minds | IdeaFeed | Big Think | Science News | Scoop.it

Scientists are teaching machines to decode our brain chemistry to better understand what a person is thinking from the outside. UCLA researchers presented cigarette smokers (nicotine addicts) with three visual stimuli: a video mean to induce a nicotine craving, a neutral video and no video at all. While the smokers watched, researchers measured brain function. With the help of machine learning, researchers were able to tell whether people were resisting their cravings while watching the video or indulging them.

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» Rise of the Machines: Why We Keep Coming Back to H.G. Wells’ Visions of a Dystopian Future

» Rise of the Machines: Why We Keep Coming Back to H.G. Wells’ Visions of a Dystopian Future | Science News | Scoop.it
War of the Worlds, The Time Machine and The Island of Doctor Moreau set the template for today's bleak science fiction, from Alien to The Terminator.
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[VIDEO] These life support machines work to keep each other alive

The Immortal investigates human dependence on electronics, the desire to make machines replicate organisms and our perception of anatomy as reflected by biomedical engineering.

http://io9.com/5911818/these-life-support-machines-work-to-keep-each-other-alive

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What Part of Our Brain Makes Us Human?

What Part of Our Brain Makes Us Human? | Science News | Scoop.it

It's my belief that only experiencing and understanding truly disembodied cognition, only seeing the coldness and deadness and disconnectedness of something that truly does deal in pure abstraction, divorced from sensory reality, only this can snap us out of it. Only this can bring us, quite literally, back to our senses.

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AI will change our relationship with tech

AI will change our relationship with tech | Science News | Scoop.it
Advances in artificial intelligence could cause a big change in the way we interact with our devices over the coming year says one of Intel's experts.
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When will artificial molecular machines start working for us?

When will artificial molecular machines start working for us? | Science News | Scoop.it
Physicist Richard Feynman in his famous 1959 talk, 'Plenty of Room at the Bottom,' described the precise control at the atomic level promised by molecular machines of the future.
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