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“The germ of Stargate Universe began as a movie by Robert Cooper, as do many of our ideas,” Wright told the magazine. “We always come up with a movie, pitch it to MGM, and they say, ‘Terrific, let’s make it a TV show.’  When we were spinning the film idea, we knew deep down that Universe was really a series because it had so much scope.”

The netlabel portal phlow-magazine.com proudly presents a very special gift. Together with free music lovers from all over the planet, from Japan to America, from Portugal to Great Britain, from Italy to Germany, they asked for the fucking best Creative Commons Music Moments in 2009 and got 24 responses. All in all this makes 1,3 GB sweet stuff or 9 hours, 38 minutes and 35 seconds of free creative commons music in other words. You can download them all via P2P.

By now most residents of the Dallas / Fort Worth area are aware of the giant, 35,000 lbs steel robot that towers over DART's Deep Ellum rail station. Robot builders may also be aware of the robot from coverage in Robot Magazine. Now, the rest of the world is taking notice because the prominent art organization, Americans for the Arts, has included the Dallas Robot, known officially as Traveling Man, on its list of 40 Best Public Art Works in the US and Canada. Read on to learn more about Traveling Man and see more photos of the big robot and little chrome friends.So what's the story behind this giant robot? A combination of opportunities and influences led to its creation. Dallas Area Rapid Transit or DART as it's known locally, was expanding into the Deep Ellum area with a new rail line and a Deep Ellum rail station. Deep Ellum is the historic Dallas arts district from which have come a long list of musical and visual artists. The area is also well known for its many public art pieces, many improvised in local do-it-yourself fashion. Painters and sculpters often create art on the exterior of their own or other buildings in the area.

Tilikum the killer whale (Orcinus orca) made news recently in the tragic death of his Sea World trainer, Dawn Brancheau. Tilikum pulled Brancheau into the water when he grabbed her floating ponytail — much like a cat might grab yarn attached to a stick. Complex play behavior is a sign of intelligence, but unfortunately little is known of the circuitry of even a cat’s brain, much less the massive brain of an orca — roughly four times the size of a human brain. See Also The Race to Reverse Engineer the Human Brain Ray Kurzweil Interview Brain on a Chip MIT neuroscientists are developing computerized techniques to map the millions of miles of neuronal circuits in the brain that may one day shed some light on the differences between Homo sapiens sapiens and other species, and will likely clarify how those neurons give rise to intelligence, personality, and memory. Developing connectomes (maps of neurons and synapses) may have just as much impact as sequencing the human genome. Here’s a video showing 3D rotating nodes and edges in a small connectome:

When will human-level AIs finally arrive? We don’t mean the narrow-AI software that already runs our trading systems, video games, battlebots and fraud detection systems. Those are great as far as they go, but when will we have really intelligent systems like C3PO, R2D2 and even beyond? When will we have Artificial General Intelligences (AGIs) we can talk to? Ones as smart as we are, or smarter? Well, as Yogi Berra said, “it’s tough to predict, especially about the future.” But what do experts working on human-level AI think? To find out, we surveyed a number of leading specialists at the Artificial General Intelligence conference (AGI-09) in Washington DC in March 2009. These are the experts most involved in working toward the advanced AIs we’re talking about. Of course, on matters like these, even expert judgments are highly uncertain and must be taken with multiple grains of salt — nevertheless, expert opinion is one of the best sources of guidance we have. Their predictions about AGI might not come true, but they have so much relevant expertise that we should give their predictions careful consideration.

Nikki Graziano's intriguing integration of mathematical curves into her photography sparked a Radar discussion about the relationship between mathematics and the real world. Does her work give insight into the nature of mathematics? Or into the nature of the world? And if so, what kind of insight? Mathematically, matching one curve to another isn't a big deal. Given N points, it's trivial to write an N+1 degree equation that passes through all of them. There are many more subtle ways of solving the same problem, with more aesthetically pleasing results: you can use sine functions, wavelets, square waves, whatever you want. Take out a ruler, measure some points, plug them into Mathematica, and in seconds you can generate as many curves as you like. So finding an equation that matches the curve of an artfully trimmed hedge is easy. The question is whether that curve tells us anything, or whether it's just another stupid math trick.

Recently issue 32 of the german retromagazine Lotek64 came out. It covers topics like a special about soccer managers on the C64, a report about the classical game "A bard's tale", reviews of new 8bit netlabel releases and loads of other stuff. Get your PDF-file here

Commenter Cynox was browsing through the 137 years of Popular Science magazine which are now available online, and he noticed this robot in the September 1984 issue. Called Odex I, it was developed by a (now apparently defunct) company called Odetics. Odex was six and a half feet tall, had six legs, and was fully capable of walking. Although it only weighed 370 pounds, each of its legs could lift 400 pounds. It could dead lift some 2100 pounds, and carry 900 pounds while walking at normal speed (which was about 18 inches per second). Odex used a tripod gait, and the fishbowl thing on top contained sensors that helped it avoid obstacles. It was one of the first robots with an onboard computer that helped coordinate all of its limbs. Since the limbs could articulate themselves in several directions independently, Odex was able to rapidly change its limb configuration to squeeze through tight spaces, move quickly, or lift stuff. It was able to climb into the back of a truck through a combination of automated step behaviors and teleoperation, which was pretty damn good for 1984.

Willow Garage is organizing a workshop at the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2010 in San Francisco to discuss the intersection of computer vision with human-robot interaction. Willow Garage is the hardware and open source software organization behind the Robot Operating System (ROS) and the PR robot development platform. Here’s a recent video from Willow Garage of work done at the University of Illinois on how robots can be taught to perceive images:

At first glance, D-Wave Systems looks like any other well-appointed office, with an open reception area and conventional cubicles. But one glance at the wall beside the receptionist and you know the average IQ here is intimidatingly high — it’s literally covered in plaques from the U.S. patent office featuring 19th century lettering and incongruously describing patents for superconducting qubit-based microchips.

The question of the relative roles of nanotechnology and AI in forging the shape of the future has been argued in techno-futurist circles for decades. Eric Drexler mentioned AI as a potentially disruptive technology in his seminal 1986 book Engines of Creation, and it was discussed at the very first Foresight conference 20 years ago

Power and energy are key design considerations across a spectrum of computing solutions, from supercomputers and data centers to handheld phones and other mobile computers. A large body of work focuses on managing power and improving energy efficiency. While prior work is easily summarized in two words—"Avoid waste!"—the challenge is figuring out where and why waste happens and determining how to avoid it. In this article, I discuss how, at a general level, many inefficiencies, or waste, stem from the inherent way system architects address the complex trade-offs in the system-design process. I discuss common design practices that lead to power inefficiencies in typical systems and provide an intuitive categorization of high-level approaches to addressing them. The goal is to provide practitioners—whether in systems, packaging, algorithms, user interfaces, or databases—a set of tools, or "recipes," to systematically reason about and optimize power in their respective domains.