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"In 2009, the scientific literature caught up with what top climate scientists have been saying privately for a few years now: * Many of the predicted impacts of human-caused climate change are occurring much faster than anybody expected - particularly ice melt, everywhere you look on the planet. * If we stay anywhere near our current emissions path, we are facing incalculable catastrophes by century's end, including rapid sea level rise, massive wildfires, widespread Dust-Bowlification, large oceanic dead zones, and 9°F warming - much of which could be all but irreversible for centuries. And that's not the worst-case scenario! * The consequences for human health and well being would be extreme. That's no surprise to anybody who has talked to leading climate scientists in recent years, read my book Hell and High Water (or a number of other books), or followed this blog. Still, it is a scientific reality that I don't think more than 2 people in 100 fully grasp, so I'm going to review here the past year in climate science. I'll focus primarily on the peer-reviewed literature, but also look at some major summary reports."

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.

Scientists in central Germany are working on a method with which they reckon they could diagnose Alzheimer's disease years before any symptoms are noticed - by looking up patients' noses.

Digital advertising billboards being trialled in Japan are fitted with cameras that read the gender and age group of people looking at them to tailor their commercial messages.

Our only chance of long term survival is not to remain inward looking on planet Earth, but to spread out into space, Stephen Hawking said in an interview

Cookies that change flavour when you look at them and "furscreens" you can stroke: the future of computer interfaces from this year's SIGGRAPH conference

In a world of rapidly accelerating change, from iPads to eBooks to genetic mapping to MagLev trains, we can't help but wonder if technology is our servant or our master, and whether it is taking us in a healthy direction as a society.* What forces drive the steady march of innovation?* How can we build environments in our schools, our businesses, and in our private lives that encourage the creation of new ideas--ideas that build on the new technology platforms in socially responsible ways?Kevin Kelly and Steven Johnson look at where technology is taking us. One of the co-founders of Wired Magazine, Kelly's new book, What Technology Wants, makes the argument that technology as a whole is not a jumble of wires and metal but a living, evolving organism that has its own unconscious needs and tendencies. Johnson's new book, Where Good Ideas Come From, explains why certain spaces, from 18th-century coffeehouses to the World Wide Web, have an uncanny talent for encouraging innovative thinking.

Out of the background thermal equilibrium, a fluctuation randomly appears that collects some degrees of freedom into the form of a conscious brain, with just enough sensory apparatus to look around and say "Hey! I exist!", before dissolving back into

"And what if science becomes - or has become - lower-yield? Is that a reason to reconsider funding policies? Rationally, looking at the cost-benefit may already have effects on resource and funding allocations. Is it unreasonable to assume that science will continue to produce large, demonstrable advances and insights of the size and importance of the major breakthroughs?"

I think the comments under the linked article sufficiently refute it.

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.

A University of Zurich study 'proves' that a small group of companies - mainly banks - wields huge power over the global economy. The study is the first to look at all 43,060 transnational corporations and the web of ownership between them - and created a 'map' of 1,318 companies at the heart of the global economy. The study found that 147 companies formed a 'super entity' within this, controlling 40 per cent of its  wealth. All own part or all of one another. Most are banks - the top 20 includes Barclays and Goldman Sachs. But the close connections mean that the network could be vulnerable to collapse

Microsoft has posted an awesome new concept video with some ubercool new interfaces that could be here in five to ten years, estimates Kurt DelBene, President, Microsoft Office Division. That sounds a bit conservative. "All of the ideas in the video are based on real technology," he said. "Some of the capabilities, such as speech recognition, real time collaboration, and data visualization, already exist today. Others are not yet available in specific products, but represent active research and development happening at Microsoft and other companies." "Other companies" … hmm, some of the concepts look a bit like Nokia's visionary Morph concept tech  (see the video at the bottom of this post and our 2010 news item).

What does the future of science look like? About a year ago, I was asked this question. My response then was: Transdisciplinary collaboration. Researchers from a variety of domains-biology, philosophy, psychology, neuroscience, economics, law-all coming together, using inputs from each specialized area to generate the best comprehensive solutions to society's more persistent problems. Indeed, it appears as if I was on the right track, as more and more academic research departments, as well as industries, are seeing the value in this type of partnership. Now let's take this a step further. Not only do I think we will be relying on inputs from researchers and experts from multiple domains to solve scientific problems, but I see society itself getting involved on a much more significant level as well. And I don't just mean science awareness. I'm talking about actually participating in the research itself. Essentially, I see a huge boom in the future for Citizen Science.

DARPA, the Pentagon's advanced concepts think-tank, is looking to take propaganda to the next level, and they're hoping to do so by controlling the very way their targets perceive and interpret the flow of incoming information.

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