The new vessel designed to track Chinese and Russian subs is slated to be christened this April.
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Category: robotics/AI – Page 2374
Robotic in orbit assembly and laser propulsion could enable vast increases in space capability while not significantly changing the world civilization energy budget.
Robotic and additive manufacturing could enable massive frames and massive solar power arrays.
Tethers Unlimited is currently developing a revolutionary suite of technologies called “SpiderFab” to enable on-orbit fabrication of large spacecraft components such as antennas, solar panels, trusses, and other multifunctional structures. SpiderFab provides order-of-magnitude packing- and mass- efficiency improvements over current deployable structures and enables construction of kilometer-scale apertures within current launch vehicle capabilities, providing higher-resolution data at lower life-cycle cost.
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A lot of transhumanism friends have asked me to write about Bernie Sanders, so here are my thoughts:
The transhumanism movement has been dramatically growing in size—and most of that growth is from millennials and youth joining. Transhumanists want to use science and technology to radically improve the human race, and the onslaught of new gear and gadgets to do that—like virtual reality, robots, and chip implants —are giving them plenty of ammunition to do that.
But what has caught many people off guard—including myself who probably best fits into the category: left-leaning Libertarian—is the amount of support transhumanists are giving to Bernie Sanders’s presidential campaign. Historically, transhumanism (and its de facto home: Silicon Valley) has been Libertarian-minded —with a hands-off attitude towards the government, religion, and basically any authority trying to tell them what to do or how to innovate. But with the demographics of the transhumanism movement sharply changing from older academics and technologists to young people—especially those in college—the push towards more leftist and progressive-leaning ideas is strong. For many young transhumanists, they believe they have found an ideal in Sanders.
While I like the charisma of Sanders and his long standing devotion to the people—and that is enough for me to say he’d be a good president for change—the reality is capitalism is still a hallmark of the American way. For the next four and maybe even eight years, capitalism won’t be going anywhere. Afterward, though, within 10–25 years, when robots, software, and AI really start dismantling capitalism as we know it (see my latest TechCrunch article and thoughts on a Universal Basic Income), it will be a totally different story.
Like it or not, millennials and youth obsess over this type of economy stuff—especially machines taking jobs. They know future employment statistics better than many 30-year veteran business executives running publicly traded companies. The dangerous truth is many young people know they likely won’t have jobs in the future. And neither will most of the executives for that matter, since they too can (and will) be replaced by super intelligent machines programmed to make sound mathematical business decisions.
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However, Rob Ott, a computer scientist at Stanford University in Palo Alto, California, who did work on the system—Deep Learning Interface for Accounting (DELIA)—notes that it simply held all of the missing money, some $40,120.16, in a “rainy day” account. “I don’t think you can attribute malice,” he says. “I’m sure DELIA was going to give the money back.”
Technologists shocked by program’s ability to set its own priorities—such as getting rich.
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In a video presented at IEEE Robotics and Automation Society’s annual conference, Chinese engineering students guide a living cockroach along S-shaped and Z-shaped paths using brain-to-brain interface: a bluetooth electroencephalogram (EEG) headset, translated and wirelessly sent to an electronic backpack receiver attached to the cockroach. The electrical impulses then stimulated the antennae nerves of the cockroach through a microelectrode implanted into its head. Watch the video released:
(Announced 16 June 2015 but only just came to our attention. And no, this is not April Fools post.)
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HONG KONG (Reuters) — Like innumerable children with imaginations fired by animated films, Hong Kong product and graphic designer Ricky Ma grew up watching cartoons featuring the adventures of robots, and dreamt of building his own one day.
Unlike most of the others, however, Ma has realized his childhood dream at the age of 42, by successfully constructing a life-sized robot from scratch on the balcony of his home.
The fruit of his labors of a year-and-a-half, and a budget of more than $50,000, is a female robot prototype he calls the Mark 1, modeled after a Hollywood star whose name he wants to keep under wraps. It responds to a set of programed verbal commands spoken into a microphone.
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The machine overlords of the future may now, if it pleases them, eliminate all black and white imagery from the history of their meat-based former masters. All they’ll need is this system from Berkeley computer scientist Richard Zhang, which allows a soulless silicon sentience to “hallucinate” colors into any monochrome image.
It uses what’s called a convolutional neural network (several, actually) — a type of computer vision system that mimics low-level visual systems in our own brains in order to perceive patterns and categorize objects. Google’s DeepDream is probably the most well-known example of one. Trained by examining millions of images of— well, just about everything, Zhang’s system of CNNs recognizes things in black and white photos and colors them the way it thinks they ought to be.
Grass, for instance, has certain features — textures, common locations in images, certain other things often found on or near it. And grass is usually green, right? So when the network thinks it recognizes grass, it colors that region green. The same thing occurs for recognizing certain types of butterflies, building materials, flowers, the nose of a certain breed of dog and so on.
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