The L.H.C., which operates under the auspices of the European Organization for Nuclear Research, known by its French acronym, cern, is an almost unimaginably long-term project. It was conceived a quarter-century ago, was given the green light in 1994, and has been under construction for the last 13 years, the product of tens of millions of man-hours. It’s also gargantuan: a circular tunnel 17 miles around, punctuated by shopping-mall-size subterranean caverns and fitted out with more than $9 billion worth of steel and pipe and cable more reminiscent of Jules Verne than Steve Jobs. The believe-it-or-not superlatives are so extreme and Tom Swiftian they make you smile. The L.H.C. is not merely the world’s largest particle accelerator but the largest machine ever built. At the center of just one of the four main experimental stations installed around its circumference, and not even the biggest of the four, is a magnet that generates a magnetic field 100,000 times as strong as Earth’s. And because the super-conducting, super-colliding guts of the collider must be cooled by 120 tons of liquid helium, inside the machine it’s one degree colder than outer space, thus making the L.H.C. the coldest place in the universe.

At TEDIndia, Pranav Mistry demos several tools that help the physical world interact with the world of data — including a deep look at his SixthSense device and a new, paradigm-shifting paper “laptop.” In an onstage Q&A, Mistry says he’ll open-source the software behind SixthSense, to open its possibilities to all.

Pretty neat demos.

MIT Technology Review reports researchers from several universties have demonstrated arrays of transistors made on thin films of silk. While electronics must usually be encased to protect them from the body, these electronics don’t need protection, and the silk means the electronics conform to biological tissue. The silk melts away over time and the thin silicon circuits left behind don’t cause irritation because they are just nanometers thick.
Life Logging

Mike Treder at IEET writes a little about a new device from a UK company that is essentially a camera worn around the neck, photographing every significant moment of our lives.

Worn on a cord around the neck, the camera takes pictures automatically as often as once every 30 seconds. It also uses an accelerometer and light sensors to snap an image when a person enters a new environment, and an infrared sensor to take one when it detects the body heat of a person in front of the wearer. It can fit 30,000 images onto its 1-gigabyte memory.

The ViconRevue was originally developed as the SenseCam by Microsoft Research Cambridge, UK, for researchers studying Alzheimer’s and other dementias. Studies showed that reviewing the events of the day using SenseCam photos could help some people improve long-term recall.

Mike predicts that we might have devices like this that take video as well, and not on light- or location-triggers, but all the time. This would be useful, he says, for re-living past experiences (and for “gathering data to be used in re-creating a personality embedded in silicon”, whatever that means).

In a similar vein, Wired has a review of the Fitbit Fitness and Sleep Tracker, a beefed-up pedometer with a triaxial accelerometer and a computer docking station. The Fitbit clips to your clothes and tracks how far and how fast you move, how you sleep, and the accompanying web interface lets you input calories consumed to complement calories expended. Interestingly, the Fitbit has a focus on data, metrics and trends for everything it tracks.

This is an interesting trend that I think will become more and more prevalent. Combine these devices, or allow them to gather data in a standardized way, and you can get a pretty accurate picture of of someone’s doings. Combine with a GPS receiver, a heartrate monitor, perhaps a light-level sensor, etc and that’s a whole lot of data that could be mined for interesting patterns.

Recent developments in neuroimaging have created concerns about the ethics of ‘mind-reading’. A technology called functional magnetic resonance imaging (fMRI) has led to significant advances in the ability to determine what someone is thinking by monitoring their brain activity. Early research focused on determining very simple features of a person’s mental state, such as whether or not they were currently looking at a picture of a face. However, new research by John-Dylan Haynes of the Max Planck Institute has gone beyond this, allowing scientists to determine which action the subjects in their trial were intending to perform before they performed it (see a summary, or the paper itself). The task in question was to decide whether to add or subtract the two numbers which would later be shown. After being trained on a number of examples, the system could predict which of the two operations the subject would later perform. Furthermore, a study at Carnegie Mellon University showed that it was possible to determine which word from a given list a subject was thinking of, even if it had not scanned that person’s brain before.
Implications of increased lifespans
[Miami Herald: Oh baby, it’s a long life]:

Today’s babies will be tomorrow’s centenarians. A new report says that reaching the age of 100 may become ordinary for most American babies born since 2000. How will living for a century affect our kids? And what quality of life awaits those who live this long?

Japan now has the world's longest life expectancy -- 83 years for babies born in 2007, according to the WHO. Here, Japanese centenarian Shizuee Ikehate at a commemoration of the end of World War II. JUNJI KUROKAWA/APAn interesting article with some facts about the growing number of centenarians in Japan, the US, and other first-world countries.

Japan’s quickly-growing  older population has already begun changing the how it’s society views them. There are an increasing number lifestyle products to make the lives of the extremely elderly easier.

But, what will happen when old people are more healthy, still self-sufficient, presumably still employed, and otherwise active? Will their longer experience and accumulated wealth become an insurmountable obstacle for newer generations?

Fashions in ideologies also tend to shift when the older generations die - will our politics become stagnant with the over-repeated ideas of the older giants who refuse to die or retire? Will the younger voice be drowned out and ignored?

I realized from watching this wonderful summary that space stations will be like cities: ever changing, ever accumulating, ever growing. Some may grow to be a century old, full of new layers but and contain ancient parts they cannot shed.
CCNx: Content Centric Networking

CCNx (code) is a next-generation content-centric “networking” protocol born from the CCN research group at PARC. Instead of connecting hosts like traditional protocols, CCNx creates a P2P model where clients address data instead of other clients (protocol overview).

I, for one, don’t want to ask the lights of my home-of-the-future to dim by way of an IPv6 address, and I don’t think we’ll be running DNS servers for our homes either - naming every appliance and application would be a chore. I hope to explore the implications of “everyware”, as Adam Greenfield calls it, on future networking in later posts.

(via Trivium)

In recent years, quantum computers have lost some of their luster. In the 1990s, it seemed that they might be able to solve a class of difficult but common problems — the so-called NP-complete problems — exponentially faster than classical computers. Now, it seems that they probably can’t. In fact, until this week, the only common calculation where quantum computation promised exponential gains was the factoring of large numbers, which isn’t that useful outside cryptography. In a paper appearing today in Physical Review Letters, however, MIT researchers present a new algorithm that could bring the same type of efficiency to systems of linear equations — whose solution is crucial to image processing, video processing, signal processing, robot control, weather modeling, genetic analysis and population analysis, to name just a few applications.
Some Core Principles

We ought to set down some core principles to refer to when discussing the future.

The best way to predict the future is to invent it.

Predictions aren’t very useful without hard evidence to back them up, and the best sort of evidence is reality. All short-term predictions, if they are viable, ought to have a clear next step to bringing about their existence. The most reliable and trust-worthy predictor will have already taken this step.

With that said, the next best way to make a prediction is to examine the past. In general, history is an excellent resource to inform us about how we act, perceive, and record. For example, I have trouble believing we will ever have personal jetpacks - the history of air travel is predisposed against it (not to mention physical impracticalities, fuel costs, inconvenience, and general sentiment for public transport). A good prediction will examine historical precedent.

Beware Science Fiction.

Science Fiction is fiction first, science second. Sci-Fi has some neat ideas, but they ought to be examined carefully. Many times, Sci-Fi will introduce seemingly near-practical inventions while failing to take into account their full implications. Predicted inventions should not be considered out-of-context.

The future will be messy and human.

There will be no clean lines and gleaming surfaces, there will be no single human government, and there will be no universal hive mind. The future will be distinctly human, because it will have been built by humans. No purely technical change will unify humanity, solve it’s deficiencies, or end all suffering.

The future may not be good.

Humanity, indeed, all life, is a happy accident, and we are still in a very fragile position that is  not getting any better. There is no reason humanity has to survive. We have only one habitable planet, no easy way of reaching others, no inexpensive way of Terra-forming others, and an steadily-increasing population.

There are no aliens.

At least, we won’t ever run into them. The universe is very very large, life is very very fragile, and if we encountered any extraterrestrial life, we probably wouldn’t be able to recognize it as such or communicate with it. Drake’s Equation examines many factors necessary for meeting intelligent life, and the end result gives us almost no chance at all.