Lifeboat Foundation

Michael Schulson, Religion Dispatches — Salon

There are places you never expect to be in life. For me, this was certainly one of them: in a conference room in suburban Charlotte on the campus of Southern Evangelical Seminary, with an enormous old Bible on a side table, shelves of Great Books lining the walls, and, on the conference table itself, a 23-inch-tall robot doing yoga.

Meet the Digitally Advanced Viritual Intelligence Device, a NAO (now) robot known as “D.A.V.I.D.”

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Alexandra Ossola — MotherBoard

Ever since humans first envisioned robots, we’ve thought about how to make the machines more like us. Robots compete against us on game shows, and rendezvous with us in the bedroom (or at least, make virtual sex feel real). But part of being human is sensing the world around us in a particular way, and doing it all at the same time.

This is much more complicated than it seems, as scientists haven’t fully unraveled how we’re able to sense what we do; it’s both our hardware and software that contain codes that are difficult to crack. Still, scientists power through, discovering how their own senses work while crafting artificial versions of them. Here are some of the most valiant attempts to get robots to taste, smell, touch, hear, and see in the most human way possible.

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By JOHN MARKOFF — New York Times

Inspired by the architecture of the brain, scientists have developed a new kind of computer chip that uses no more power than a hearing aid and may eventually excel at calculations that stump today’s supercomputers.

The chip, or processor, is named TrueNorth and was developed by researchers at IBM and detailed in an article published on Thursday in the journal Science. It tries to mimic the way brains recognize patterns, relying on densely interconnected webs of transistors similar to the brain’s neural networks.

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by Daniel Terdiman — C/Net

Boeing and Liquid Robotics today announced a partnership to make water-borne robots that can handle a variety of surveillance jobs, ranging from hunts for submarines to the detection of drug traffickers.

Silicon Valley’s Liquid Robotics is the manufacturer of the Wave Glider SV3, a $300,000 self-powered, seafaring data center that offers customers — until now, mostly researchers and marine industry companies — tools for investigating the open seas for months at a time. SV3s have a hybrid propulsion system that can drive the robot with either solar or wave power. Boeing is the world’s second-largest defense contractor.

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Nidhi Subbaraman — BetaBoston

The candidate for best robotic hand looks like a beanbag and claims to grip anything.

A Boston builder of robot hands, Empire Robotics, is showing its first commercial grippers today: the enchanting and entirely fingerless VersaBall. Interestingly, this first demonstration is in partnership with Universal Robots, who happens to be local bot maker Rethink Robotics’ competitor.

Continue reading “Empire Robotics shows its hands … and they’re fingerless” »

By Angela Chen — The Chronicle of Higher Education

When the world ends, it may not be by fire or ice or an evil robot overlord. Our demise may come at the hands of a superintelligence that just wants more paper clips.

So says Nick Bostrom, a philosopher who founded and directs the Future of Humanity Institute, in the Oxford Martin School at the University of Oxford. He created the “paper-clip maximizer” thought experiment to expose flaws in how we conceive of superintelligence. We anthropomorphize such machines as particularly clever math nerds, says Bostrom, whose book Superintelligence: Paths, Dangers, Strategies was released in Britain in July and arrived stateside this month. Spurred by science fiction and pop culture, we assume that the main superintelligence-gone-wrong scenario features a hostile organization programming software to conquer the world. But those assumptions fundamentally misunderstand the nature of superintelligence: The dangers come not necessarily from evil motives, says Bostrom, but from a powerful, wholly nonhuman agent that lacks common sense.

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Christopher Mims — Wall Street Journal

The age of intelligent machines has arrived—only they don’t look at all like we expected. Forget what you’ve seen in movies; this is no HAL from “2001: A Space Odyssey,” and it’s certainly not Scarlett Johansson’s disembodied voice in “Her.” It’s more akin to what happens when insects, or even fungi, do when they “think.” (What, you didn’t know that slime molds can solve mazes?)

Artificial intelligence has lately been transformed from an academic curiosity to something that has measurable impact on our lives. Google Inc. used it to increase the accuracy of voice recognition in Android by 25%. The Associated Press is printing business stories written by it. Facebook Inc. is toying with it as a way to improve the relevance of the posts it shows you.

Continue reading “It's Time to Take Artificial Intelligence Seriously” »

By Stephen F. DeAngelis, Enterra Solutions — Wired

“Algorithm” is a word that one hears used much more frequently than in the past. One of the reasons is that scientists have learned that computers can learn on their own if given a few simple instructions. That’s really all that algorithms are mathematical instructions. Wikipedia states that an algorithm “is a step-by-step procedure for calculations.

Algorithms are used for calculation, data processing, and automated reasoning.” Whether you are aware of it or not, algorithms are becoming a ubiquitous part of our lives. Some pundits see danger in this trend. For example, Leo Hickman (@LeoHickman) writes, “The NSA revelations highlight the role sophisticated algorithms play in sifting through masses of data. But more surprising is their widespread use in our everyday lives. So should we be more wary of their power?” [“How algorithms rule the world,” The Guardian, 1 July 2013] It’s a bit hyperbolic to declare that algorithms rule the world; but, I agree that their use is becoming more widespread. That’s because computers are playing increasingly important roles in so many aspects of our lives. I like the HowStuffWorks explanation:

Continue reading “Artificial Intelligence: How Algorithms Make Systems Smart” »