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When we talk about participation, we have to be a bit more specific. On the publishing side, there's clearly more participation than we've ever seen in the past. But in order for this tidal wave of information to be useful, we need to be able to separate fact from fiction. We need to encourage participation on the receiving end. What we need is evaluating participation. With the breadth of niche information and sources we have the ability to get at the best of what is known on a myriad of topics and contexts. Every niche has its experts and its hacks, its enthusiasts and detractors. But for the remaining 95% of us who are not subject matter experts, deriving the accurate or useful information from the sea of what is available can be complicated, time-consuming and simply unverifiable. We need a way to quantify the value of information, or more specifically, the veracity of information.

How can architects build a new world of sustainable beauty? By learning from nature. At TEDSalon in London, Michael Pawlyn describes three habits of nature that could transform architecture and society: radical resource efficiency, closed loops, and drawing energy from the sun.

"This paper examines the broad social purpose of US climate science, which has benefited from a public investment of more than $30 billion over the last 20 years. A public values analysis identifies five core public values that underpin the interagency program. Drawing from interviews, meeting observations, and document analysis, I examine the decision processes and institutional structures that lead to the implementation of climate science policy, and identify a variety of public values failures accommodated by this system. In contrast to other cases which find market values frameworks (the "profit as progress" assumption) at the root of public values failures, this case shows how "science values" ("knowledge as progress") may serve as an inadequate or inappropriate basis for achieving broader public values. For both institutions and individual decision makers, the logic linking science to societal benefit is generally incomplete, incoherent, and tends to conflate intrinsic and instrumental values. I argue that to be successful with respect to its motivating public values, the US climate science enterprise must avoid the assumption that any advance in knowledge is inherently good, and offer a clearer account of the kinds of research and knowledge advance likely to generate desirable social outcomes. "

Researchers in EPFL's Computer Vision Laboratory developed a computer-based modeling service that generates a 3D image from up to thousands of 2D shots, with all the processing done in the cloud. Since April, the EPFL startup Pix4D has been offering the modeling service with a fourth dimension: time. Now, individuals and small businesses looking for fast, cheap, large-scale 3D models can get them without investing in heavy processing, the company states. With Pix4D, users upload a series of photos of an object, and within 30 minutes they have a 3D image. The software defines "points of interest" from among the photos, or common points of high-contrast pixels. Next, the program pastes the images together seamlessly by matching up the points of interest. Much in the same way our two eyes work together to calculate depth, the software computes the distance and angle between two or more photos and lays the image over the model appropriately, creating a highly accurate 3D model that avoids the time intensive, "point by point" wireframe method. With Pix4D's 3D models, you can navigate in all directions as well as change the date on a timeline to see what a place looked like at different times of the year. The company is collaborating with several drone makers (including another EPFL startup,senseFly) to market their software as a package with senseFly's micro aerial vehicles, or autonomous drones. Pix4D's time element avoids waiting for Google to update its satellite data or for an expensive plane to fly by and take high-resolution photos. Farmers, for example, can now send relatively inexpensive flying drones into the air to take pictures as often as they like, allowing them to survey the evolution of their crops over large distances and long periods of time. And since the calculations are done on a cloud server, the client doesn't need a powerful computer of his or her own.

A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.

Foxconn, an electronics manufacturer from Taiwan with huge factories in China, generates about 40 percent of the global consumer electronics revenue by creating things like iPhones and computer components on giant assembly lines staffed by humans. Until recently, you'd probably never heard of Foxconn, but a series of worker suicides made us all take a hard look at where our electronics were coming from. Foxconn has made some improvements (including nets around tall buildings), but by all accounts, the core of the problem (the work) remains "repetitive, exhausting, and alienating." Yesterday, Foxconn announced (at an employee dance party of all places) that they're planning on buying some robots to replace their human workforce. And by some robots, they mean one million robots over the next three years. So for every one robot Foxconn currently has working at their manufacturing plants, they're going to buy a hundred more.

The supply of secure, clean, sustainable energy is arguably the most important scientific and technical challenge facing humanity in the 21st century. Rising living standards of a growing world population will cause global energy consumption to double by mid-century and triple by the end of the century. Even in light of unprecedented conservation, the additional energy needed is simply not attainable from long discussed sources these include nuclear, biomass, wind, geothermal and hydroelectric. The global appetite for energy is simply too much. Petroleum-based fuel sources (i.e., coal, oil and gas) could be increased. However, deleterious consequences resulting from external drivers of economy, the environment, and global security dictate that this energy need be met by renewable and sustainable sources. The dramatic increase in global energy need is driven by 3 billion low-energy users in the non-legacy world and by 3 billion people yet to inhabit the planet over the next half century. The capture and storage of solar energy at the individual level personalized solar energy drives inextricably towards the heart of this energy challenge by addressing the triumvirate of secure, carbon neutral and plentiful energy. This talk will place the scale of the global energy issue in perspective and then discuss how personalized energy (especially for the non-legacy world) can provide a path to a solution to the global energy challenge. Daniel G. Nocera is the Henry Dreyfus Professor of Energy at the Massachusetts Institute of Technology, Director of the Solar Revolutions Project and Director of the Eni Solar Frontiers Center at MIT. His group pioneered studies of the basic mechanisms of energy conversion in biology and chemistry. He has recently accomplished a solar fuels process that captures many of the elements of photosynthesis outside of the leaf. This discovery sets the stage for a storage mechanism for the large scale, distributed, deployment of solar energy. He has b

Researchers at LaserMotive have devised a way to beam lasers to power military bases and drones, possibly helping to save lives, since delivering fuel to battle zones can be a dangerous task in wartime. Although still largely in the R&D stage, laser power beaming has many other potential uses, which include powering vehicles, replacing electric power wiring and transmission lines in difficult places, and even launching rockets into orbit. The beam is about 8 inches wide as it leaves the transmitter - and then spreads wider as it travels. The beam emitter is located at a ground-based unit and operated by a person, who could control it from the same location or remotely from an entirely different place altogether. The operator uses the machine to fire the laser beam at a photovoltaic collector located on an unmanned autonomous vehicle (UAV), small plane, or helicopter. The current range of the system is about a kilometer. When the laser hits the photovoltaic device, the photons in the light beam are converted to electricity to fly the AUV. Topics: AI/Robotics | Energy | Physics/Cosmology | Survival/Defense

ScienceDaily (Sep. 23, 2011) - Spanish researchers have designed what they believe to be a new type of magnetic cloak, which shields objects from external magnetic fields, while at the same time preventing any magnetic internal fields from leaking outside, making the cloak undetectable.

With its expansive range and unprecedented potential for anonymity, (the Internet gives voice to our deepest urges and most uninhibited thoughts. Inspired by the wealth of unfettered expression available online, neuroscientists Ogi Ogas and Sai Gaddam, who met as Ph.D. candidates at Boston University, began plumbing a few chosen search engines (including Dogpile and AOL) to create the world's largest experiment in sexuality in 2009. Quietly tapping into a billion Web searches, they explored the private activities of more than 100 million men and women around the world. The result is the first large-scale scientific examination of human sexuality in more than half a century, since biologist Alfred Kinsey famously interviewed more than 18,000 middle-class Caucasians about their sexual behavior and published the Kinsey reports in 1948 and 1953. Building on the work of Kinsey, neuroscientists have long made the case that male and female sexuality exist on different planes. But like Kinsey himself, they have been hampered by the dubious reliability of self-reports of sexual behavior and preferences as well as by small sample sizes. That is where the Internet comes in. By accessing raw data from Web searches and employing the help of Alexa-a company that measures Web traffic and publishes a list of the million most popular sites in the world-Ogas and Gaddam shine a light on hidden desire, a quirky realm of lust, fetish, and kink that, like the far side of the moon, has barely been glimpsed. Here is a sampling of their fascinating results, selected from their book, A Billion Wicked Thoughts.

The US Navy has fired a laser gun from one of its ships for the first time. Researchers used the high-energy laser (HEL) to disable a boat by setting fire to its engines off the coast of California.

A startup called Quid has developed algorithms that analyze Internet-based data from corporations to make fast-moving technology developments visible, navigable, and understandable. Quid has built a data set combining information about firms that succeeded and sank, patent documents, government grants, help wanted advertisements, and tweets. Its algorithms use the collection of information to analyze the prospects of around 35,000 firms and research groups working on new technologies. By extracting words and phrases from the collected documents, Quid constructs a "technology genome" that describes the primary focus of each of those 35,000 entities. A map of the connections between those genomes can be used by investors to find hints about interesting companies or ideas. Most companies cluster around established sectors, but a few will sit in the white spaces between the clusters and can represent the seeds of new technology sectors.

The catalysts would enable the production of hydrogen from liquid fuel stored in a disposable or recycled cartridge, creating miniature fuel cells to power everything from mobile phones to laptops.

Imagine, Michael Chorost proposes, that four police officers on a drug raid are connected mentally in a way that allows them to sense what their colleagues are seeing and feeling. Tony Vittorio, the captain, is in the center room of the three-room drug den. He can sense that his partner Wilson, in the room on his left, is not feeling danger or arousal and thus has encountered no one. But suddenly Vittorio feels a distant thump on his chest. Sarsen, in the room on the right, has been hit with something, possibly a bullet fired from a gun with a silencer. Vittorio glimpses a flickering image of a metallic barrel pointed at Sarsen, who is projecting overwhelming shock and alarm. By deducing how far Sarsen might have gone into the room and where the gunman is likely to be standing, Vittorio fires shots into the wall that will, at the very least, distract the gunman and allow Sarsen to shoot back. Sarsen is saved; the gunman is dead. That scene, from his new book, "World Wide Mind," is an example of what Mr. Chorost sees as "the coming integration of humanity, machines, and the Internet." The prediction is conceptually feasible, he tells us, something that technology does not yet permit but that breaks no known physical laws.

What would happen if we could generate power from our windowpanes? In this moving talk, entrepreneur Justin Hall-Tipping shows the materials that could make that possible, and how questioning our notion of 'normal' can lead to extraordinary breakthroughs.

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And this technology is spreading. Immersive Labs, a company in Manhattan, has developed software for digital billboards using cameras to gauge the age range, sex and attention level of a passer-by. The smart signs, scheduled to roll out this month in Los Angeles, San Francisco and New York, deliver ads based on consumers' demographics. In other words, the system is smart enough to display, say, a Gillette ad to a male passer-by rather than an ad for Tampax.