Simply put, the technology opens the door to augmented reality systems that don’t require some kind of bulky, virtual-reality-headset-from-the-‘90s peripheral visor or helmet. Instead, Innovega’s tech relies on images protected on a normal-looking set of specs and a pair of nanotechnology-infused contact lenses that provide megapixel clarity of that up-close imagery while still allowing the eye to focus on the world beyond.

At least, so goes the company’s CES pitch, which you can judge for yourself below. We haven’t tested the product, so we can’t really speak to its awesomeness. But DARPA can. The Pentagon’s blue-sky research wing announced yesterday that Innovega has developed for the agency a new breed of contact lenses that allow “a wearer to view virtual and augmented reality images without the need for bulky apparatus” and that allow users to focus on both faraway objects and images placed very close to the eye.

For DARPA’s part, Innovega is working as part of the Soldier Centric Imaging via Computational Cameras (SCENICC) program, which aims to eliminate the intelligence, surveillance, and reconnaissance capability gap at the individual soldier level. Read: AR setups that plug individual soldiers right into drone feeds and other intel streams while still allowing them to maintain their peripheral vision and situational awareness. Meanwhile that could lead to more immersive 3-D television and gaming experiences for the rest of us. More tech detail via the video below.

Their dart-like rifle round is designed for small-caliber firearms like those carried by the average grunt or law enforcement officer. The duo is still sorting out some engineering issues and looking for a private sector partner to help develop the guided round into a marketable product, but for now the four-inch prototype bullet is proving that smart rounds are by no mean unfeasible, or even prohibitively expensive.

Their bullet works much like a precision guided aerial bomb might function. An optical sensor in the nose of the bullet detects a laser beam painted on a target and sends that information to a guidance and control system also packed on board. An eight-bit CPU commands electromagnetic actuators to adjust tiny fins that deploy from the round immediately after it exits the muzzle. From there, the on-board electronics aerodynamically guide the bullet home to its target, allowing the shooter to adjust a round’s trajectory in flight to correct on a long shot or to stay with a moving target.

In order for a finned design to work, of course, the engineers had to dispense with some fundamentals of modern firearm design, like the rifled barrel that puts spin on conventional bullets. That spin, like a spiraling football, stabilizes conventional rounds and helps them to fly straight. The smart rounds eschew rifling and spin for the active guidance provided by the fins, and in doing so computer simulations suggest they could narrow the average margin of error on a half-mile shot from nearly 10 yards down to just 8 inches.

Meaning a “miss” on a target of any decent size–let’s say for the sake of the argument, a target the size of a grown man’s torso–would still likely result in a “hit” of some degree. The video below doesn’t go very far by way of technical explanation, but you can see the round exit the muzzle and deploy its self-guiding fins in super slow-mo.

As the basic structural and functional unit of all known living organisms, the cell is the smallest unit of life that is classified as a living thing. Although there are various theories – meteorites, deep-sea vents, lightning – there is still no scientific consensus regarding the origin of the first cell.

"We don’t understand this really fundamental step in our existence, which is how non-living matter went to living matter," said Neal Devaraj, assistant professor of chemistry at UCSD. "So this is a really ripe area to try to understand what knowledge we lack about how that transition might have occurred. That could teach us a lot – even the basic chemical, biological principles that are necessary for life."

Cell membranes are composed of a lipid bilayer usually made mostly of phosopholids that have heads that mix easily with water and tails that repel it. When exposed to water, they arrange themselves to form a double layer with heads out and tails in, forming a barrier that sequesters the contents of the cells. Devaraj and Itay Budin, a graduate student at Harvard University, created similar molecules with a novel reaction that joins two chains of lipids.

"In our system, we use a sort of primitive catalyst, a very simple metal ion," Devaraj said. "The reaction itself is completely artificial. There’s no biological equivalent of this chemical reaction. This is how you could have a de novo formation of membranes."

The synthetic membranes were created from a watery emulsion of an oil and detergent that is, on its own, very stable. But the chemists say that adding copper ions results in sturdy vesicles and tubules beginning to bud off the oil droplets. After 24 hours, the oil droplets are gone, having been "consumed" by the self-assembling membranes.

Although a research team from the J. Craig Venter Institute (JVCI) had previously claimed to successfully produce the first self-replicating, synthetic bacterial cell, only its genome was artificial. To claim fully artificial life would also require a synthetic three-dimensional structure to house the information-carrying genome. Something that Deveraj says is, "trivial and can be done in a day. New people who join the lab can make membranes from day one."

So that’s pretty huge. What we generally hear about when we hear about invisibility is some new trick with metamaterials that allows for cloaking in two-dimensions by bending light around some tiny object. This means that from a single side, the object is concealed. Take a walk around the object, and it reappears. Less like a cloak, more like an invisibility curtain.

The UT team used a different method, known as plasmonic cloaking, to conceal an 18-centimeter cylinder from every direction. This is true “cloaking,” as the plasmonic material is actually coated onto the object to be concealed. These plasmonic materials work by doing the opposite of what normal materials do: reflecting light. When you see an object, it’s because light is bouncing off of it and striking your eyes, which send that info on to the brain for processing. Plasmonic materials scatter light instead, producing what is essentially transparency from all angles of observation.
Ready for the attached strings? This has only been demonstrated with microwaves. In the visible range, the cylinder is still plenty visible. But the UT Austin team thinks that making this work in the visible spectrum isn’t outside the realm of possibility. And if they can pull that off, you’ll know it because it will be leading the news here. In previous studies the team has shown that its plasmonic coating can cloak any object regardless of shape or symmetry. If they can sort this out in visible light, we may someday be able render just about anything invisible.

Photo Quiz! Can you tell which one of these women is ovulating and which one is menstruating?

In a study published online last month in the journal Ethology, psychologists Nathan Pipitone at Adams State College and Gordon Gallup at SUNY Albany asked three groups of men to listen to voice recordings of 10 women counting from one to five. Each woman was recorded four times over the course of one full menstrual cycle. (For those who aren’t familiar with the ins and outs of the female reproductive cycle, women are most fertile during ovulation, when their ovaries release an egg, and least fertile during menstruation, when they shed the unfertilized egg and the lining of the uterus.)
After the first group of men listened to all four recordings from each woman, played in random order, they were asked to guess which recordings were made during the women’s periods. The men had a one in four chance of guessing correctly, but they actually did so 35 percent of the time, a significant difference, the researchers say.
In 2008, Pipitone and Gallup showed that men find the voices of ovulating women more attractive than voices recorded during other points in the cycle, so for the second group in the new study, the researchers replaced the recording made closest to ovulation with one from a less fertile day. Even after the potentially telltale contrast was eliminated, the men pinpointed the voice recorded during menstruation 34 percent of the time.
Perhaps the most telling element of the study was the third experiment, in which a new group of men were not told that the research had anything to do with menstrual cycles. Instead they were asked to choose the most “unattractive” voice recording for each woman. They chose the menstrual recording significantly more often than was predicted by chance—again, 34 percent of the time.
In fact, according to the researchers’ calculations, all three groups singled out the voices recorded during menstruation more often than any of the other voices.
So what was it about the women’s voices that gave away their reproductive status? The men in group one who correctly identified the menstrual recordings said they could tell by the mood (bad versus good), quality (harsh versus smooth), pitch (low versus high) and speed (slow versus fast) of the women’s voices. When the second two groups were asked to score the voices based on these characteristics, they reported that menstrual voices sounded lower in mood, quality and pitch. “The men seemed to determine menstrual voices by picking the most unattractive voice,” Pipitone explains.
There’s already evidence that men subconsciously judge where a woman is in her cycle—lap dancers make 80 percent more money in tips when they’re ovulating compared to when they’re menstruating, according to a 2007 paper—but the new study is the first to demonstrate one way men make that determination.
A subconscious (and often conscious) aversion to menstruation makes sense in evolutionary terms, since males wanting to pass on their genes are better off seeking out females closer to ovulation. Over time, the ability to parse a woman’s menstrual cycle could have proliferated, as more perceptive men reproduced more successfully.
Pipitone says the adaptation is an example of the reproductive arms race known as sexually antagonistic coevolution, a phenomenon seen across living species, from humans to brine shrimp. Males show more interest in females when they’re fertile, so it makes sense that human females—who need a lot of help to raise their particularly helpless infants—hide their fertility status. (Female chimps, by contrast, broadcast their fertility with engorged genitalia.) Theoretically, human males retaliated by developing the ability to detect more subtle fertility cues such as those “leaked” by the female voice.
Hormones induce the vocal changes that give women away. “Vocal production is closely tied to our biology,” Pipitone says of men and women. For example, “Cells from the larynx and vagina are very similar and show similar hormone receptors.” The result is that, “The sound of a person’s voice contains a surprising amount of reproductively relevant information,” Gallup says. The obvious example: By speaking on the phone, we can determine a person’s gender and age. But researchers have also shown that voices alone can be used to directly and indirectly predict characteristics like facial appearance, body type, physical strength and even sexual behavior.
I think one of the most interesting results of the study is that across the board, men chose the menstrual voice around a third of the time. It would seem some men are more perceptive to women’s cycles than others. Pipitone and Gallup plan to investigate this question next.

Asteroid Fly-By

On January 31, the 20-mile-long asteroid Eros makes its closest pass by Earth in 37 years. It will miss us by 16.5 million miles, but that’s still close enough for amateur astronomers to see it with a small telescope.

A New Human Emerges

Archaeologists will get a clearer picture of human evolution this fall when they begin analyzing the complete skeleton of Little Foot, a small hominid found deep inside a cave in Sterkfontein, South Africa (entrance pictured), that may be more than three million years old.

Ocean Secrets Revealed

Autonomous underwater vehicles, also known as gliders, will deliver data on water density and plankton counts near Oregon and New England this fall—the first concrete results from the ambitious Ocean Observatories Initiative, a wide-reaching network of undersea sensors and other monitoring devices.

Super Supercomputer

By May, IBM will finish building a computer that churns through 20 petaflops, or 20 quadrillion calculations a second, double the current record. Lawrence Livermore National Laboratory (aerial view pictured) will use the new machine, called Sequoia, to perform simulations of nuclear explosions and weather systems.

Tesla Offers a Luxury Sedan

Tesla, better known for its high-end Roadster, will begin delivery of its $77,400 (before tax credits) Model S sedan [see “Luxe Electric,” page 14], which will use lithium-ion cells similar to its sibling and travel up to 300 miles per charge.

Turing Turns 100

Alan Turing, a founding father of artificial intelligence, was born on June 23, 1912. Computer scientists around the world are celebrating his centenary with conferences, museum exhibits and competitions, called Turing Tests, to find a computer program that can convince a human that it is human too.

Largest Offshore Wind Farm

The first 175 turbines of the London Array wind farm, which sits 12 miles off the English coast, will generate up to 630 megawatts of power by year’s end—more than twice the current record and enough to power 470,000 homes.

California Cap-and-Trade

This summer, California will kick off the country’s largest carbon-swap agreement by selling the right to emit greenhouse gases. Polluters can redeem these allowances in 2013, when a limit on emissions kicks in. Estimated price: $15 per metric ton. A typical power plant’s discharge: 150,000 tons.

Curiosity Explores Mars

On August 6, the largest rover yet—the size of a car rather than a golf cart—will land on the Red Planet. Curiosity is carrying new equipment that will drill into rocks, analyze their chemistry, and look for compounds that support life.

Fracking Under Scrutiny

The Environmental Protection Agency will release the first results of a study designed to answer a controversial question: Does hydraulic fracturing to release natural gas pollute drinking water? The researchers will study data from sites in four states and monitor drill locations before, during and after fracking.

Fusion Delivers Extra Energy

Researchers at the National Ignition Facility in California will attempt to produce a net energy gain from a nuclear fusion reaction by using 192 lasers to crush a hydrogen-filled target. Past fusion experiments have always consumed more energy than they created.

Salmon Stage a Comeback

State and federal agencies will return salmon to California’s newly flowing San Joaquin River, parts of which had been dry for 50 years. Researchers will study up to 2,000 tagged fish to see if a full salmon run can thrive.

That’s the idea behind one designer’s concept for a Fujitsu Lifebook, which would come with slots for a smartphone, digital camera, and tablet, for them all to all work together as one super device. The unique concept, dubbed "Lifebook 2013," comes from designer Prashant Chandra, who submitted the design to a competition held by Fujitsu. The laptop would feature fitted slots for various smart devices, but those aren’t for your standard connectivity. Attaching a gadget to the Lifebook would bring all it’s functions to the computer, including using its own processor to run some of the laptop’s functions.

Fitting the digital camera to the front would mean pictures could be downloaded to the computer or other devices. Sliding in the smartphone/mp3 player would allow music to be played and other data to be shared across devices. The Lifebook 2013 concept doesn’t have a keyboard itself, since an tablet becomes the keyboard once slotted into place. The tablet can also be used as a second display (like a larger Nintendo DS) or as a digital sketchpad with a stylus. Aside from potentially reducing the overall cost, another advantage to this setup would be that all the devices can be synced and updated simultaneously from the same hub.

"The proposed Lifebook is a laptop computer concept based on the principle of ‘shared hardware,’" explains Chandra. "Currently a lot of hardware is wasted when we use separate devices, as there is often a lot of ‘repeat’ of data stored and features. For example if I have my songs on my music player, why do I have to block the same amount of storage on my laptop? Similarly, if I have a processor sitting in my tablet, why can it not also run/assist my laptop? If I have a fully functional camera with its own memory and image processing power, why do I need to have it repeated in my laptop?"

Put this way it sounds like a logical step forward for the next generation of laptops, though there is the obvious question of being limited to the concept’s constituent devices, which would clearly be a bit limiting for the consumer.

Imagine you’re a developer and you have some code you’d like to run on a quantum computer. And imagine there’s a quantum computer maker who says you can run your code. But you can’t trust each other — you, the developer, don’t want the computer maker to rip off your great code, and the computer builder doesn’t want you to peep its breakthrough machine. This new system can satisfy both of you.

Stefanie Barz and colleagues at the University of Vienna’s Center for Quantum Science and Technology prepared an experimental demonstration of a blind computing technique, and tested it with two well-known quantum computing algorithms.

Here’s how it would work: You, the developer, prepare some quantum bits, in this case photons that have a polarity (vertical or horizontal) known only to you. Then you would send these to the remote quantum server. The computer would entangle the qubits with even more qubits, using a quantum entangling gate — but the computer wouldn’t know the nature of the entangled states, just that they are in fact entangled. The server is “blind” to the entanglement state, and anyone tapping into the server would be blind, too.

Imagine the computer tries to snoop on the qubits and see their entanglement, which could then be used to extract the information they carry. You’d be able to tell, because of the laws of quantum mechanics. The cat is both dead and alive until you check whether it’s dead or alive, and then it’s one or the other. If your photon has a specific state, you’d be able to tell that it was spied upon.

Back to the entangled bits. The actual information processing takes place via a sequence of measurements on your qubits. These measurements would be directed by you, based on the particular states of each qubit (which, again, only you know). The quantum server would run the measurements and report the results to you. This is called measurement-based quantum computation. Then you’d be able to interpret the results, based on your knowledge of the qubits’ initial states. To the computer — or any interceptor — the whole thing would look utterly random.

Since you know the entangled state on which the measurements were made, you can be certain whether the server really was a quantum computer. And you wouldn’t have to disclose your algorithm, the input or even the output — it’s perfectly secure, the researchers write in their paper, published online today in Science.

Blind quantum computation is more secure than classical blind computation, which relies on tactics like the backward factoring of prime numbers, said Vlatko Vedral, a researcher at the University of Oxford who wrote a Perspective piece explaining this finding.

“The double blindness is guaranteed by the laws of quantum physics, instead of the assumed difficulty of of computational tasks as in classical physics,” Vedral writes.

The Vienna team argues their simulation is a potentially useful technique for future cloud-based quantum computing networks.

“Our experiment is a step toward unconditionally secure quantum computing in a client-server environment where the client’s entire computation remains hidden, a functionality not known to be achievable in the classical world,” they write.

While the purpose of the former is to accumulate excess calories, the latter is used to produce heat. Irisin, named after the Greek goddess Iris, could one day help address obesity and diabetes. However, there is still a long way to go before the hormone is made into an actual drug.

Irisin occurs naturally both in humans and in mice, and its levels surge with physical exercise. Mice have to spend three weeks running on a wheel for the hormone to accumulate in their blood. For humans, the same happens after ten weeks of systematic exercising. A placebo-controlled study showed that boosting the levels of the hormone artificially in mice may induce some of the benefits that would normally be caused by a workout. The cells of the mice injected with irisin needed more oxygen and burned more calories. Obese mice lost several grams within the first ten days from the injection.

The treatment also had a positive effect on the regulation of blood sugar levels, which links the hormone to diabetes prevention. What’s more, Spiegelman’s team plans to investigate the potential of irisin to advance the treatment of diseases such as muscular dystrophy and muscle wasting. "We are hopeful, though we have no evidence, that this hormone may embody some of the other benefits of exercise, perhaps in the neuromuscular system," he says.

This sounds very promising, but there is still a lot to be done before an irisin-based drug comes to a pharmacy near you. First, whether or not irisin will have the same beneficial effects on humans still remains to be seen. Second, making it into an actual drug may turn out to be very challenging, as pointed out by MIT professor Harvay Lodish. Adiponectin, a hormone Lodish discovered back in the early 1990s, also seems to play a role in staving off obesity and diabetes. It is correlated with the body mass index (BMI) and it increases the metabolic rate in mice without raising the food intake. Still, so far all the attempts at converting the full size adiponectin protein into a viable drug have failed.

Professor Spiegelman, however, is optimistic. In fact, he’s optimistic enough to have set up a separate company, called Ember Therapeutics, to conduct brown fat-related research that includes studies on the effects of irisin. Supported by Third Rock Ventures, the company raised US$34 million in the first round of financing. We do hope that all this money and brain power will eventually lead to a treatment for obesity and diabetes. That said, we do recognize that there might be more to it than just swallowing a pill.

Smallest storage unit Spin-polarized imaging with a scanning tunneling microscope reveals the structure of the world’s smallest magnetic data storage unit. It consists of just 12 iron atoms ordered in an antiferromagnetic structure.

Until now, it was unclear how many (or how few) atoms would be needed to build a reliable, lasting memory bit, the basic piece of information that a computer understands. Researchers at IBM and the German Center for Free-Electron Laser Science decided to start from the ground up, building a magnetic memory bit atom-by-atom. They used a scanning tunneling microscope to create regular patterns of iron atoms aligned in rows of six each. They found two rows was enough to securely store one bit, and eight pairs of rows was enough to store a byte.

Data was written into and read out of the bits using the STM — so it’s not like this type of bit will be integrated into hard disks anytime soon. But it answers some fundamental questions about the nature of classical mechanical systems, said Andreas Heinrich, the lead investigator into atomic storage at IBM Research Almaden and an author on a new paper describing the teeny bit. The team was interested in the transition from quantum to classical behavior, he said.

“If you take a single atom, you have to look at quantum mechanics when you describe its behavior,” he said in an interview. “As you make the (system) bigger and bigger, several iron atoms start talking to each other, and at some point you can ignore all of this quantum behavior and just think of them as a classical magnetic structure.” It turns out that point is around 12 atoms big.

“Many people would anticipate you would have to use quantum mechanical systems to describe these structures,” Heinrich said. “That was the most surprising thing to me.”

At the smallest scales, quantum effects blur stored information. A bit using six atoms would switch magnetic states — switching from “0” to “1” — about 1,000 times per second, for instance, which is much too frequently to be useful for data storage, Heinrich said. Eight atoms switch states once per second. But 12 atoms switched their states infrequently enough to be usable for storage — instead, an outside magnetic influence (in this case, the STM) changes their states. The nano magnets are only stable at a chilly 5 degrees Kelvin, or -450 degrees F.

The other breakthrough in this paper is the bits’ antiferromagnetism — this marks the first time antiferromagnetism has been used to store data. Ferromagnets, used in most modern data storage and other applications, use magnetic interactions between iron atoms to align all the atoms in a single direction. This creates a magnetic field that can be read out. This becomes a problem at the teeniest scales, however, because tightly packed magnetic bits can interfere with each other — this limits the downsizing of data storage systems. But this new 12-atom bit uses antiferromagnetism — the atoms are aligned in opposite directions, meaning they spin in alternating directions. The iron atoms were separated by nitrogen atoms and induced with the STM to spin differently, Heinrich said. This allowed them to be packed closer together, greatly increasing storage density.

The researchers switched the bit’s magnetic state five times to store the ASCII code for each letter of the word “think,” one of Big Blue’s slogans.

Sebastian Loth, who left IBM for CFEL four months ago and is lead author of the paper, said the 12-atom bit raises plenty of new questions for classical computing at quantum scales.

“We can now use this ability to investigate how quantum mechanics kicks in. What separates quantum magnets from classical magnets? How does a magnet behave at the frontier between both worlds? These are exciting questions that soon could be answered,” he said.

Tiny think: A white signal on the right edge corresponds to logic 0 and a blue signal to logic 1. Between two successive images, the magnetic states of the bits were switched to encode the binary representation of the ASCII characters "THINK."