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.

The teaser video (below) doesn’t offer a ton of information about the computer, but does show off a widget hub in the corner of the desk you can use to launch applications on the screen, and the ability to pull down a timeline populated with news information, tweets, or other alerts from the top corner of the table. Both the widgets and the timeline can be casually swiped away when you’re done with them, and the screen and location of the widgets can be customized to meet your own personal needs. The ExoPC also supports full-screen applications, showing off in the video an app that instantly turns the computer into an electronic piano.

Multi-touch desk computers aren’t really anything new. Samsung for instance recently announced the Samsung SUR40, a 40-inch, 1080p multitouch table running Microsoft’s Surface software. Where the ExoPC stands out, however, is in its price tag. While the SUR40 and other table computers are designed for businesses (and priced that way, the SUR40 is US$8,400!), the ExoPC is instead priced at a modest $1,299 making it affordable for average consumers.

The Samsung SUR40 is expected to be a computer replacement, however, the ExoPC also appears to be something you would use as a replacement for a traditional desk, and a supplement for your actual computer.

PlateMate is a crowd-sourced dieting system, in which an online community determines the caloric value of users’ meals

Although taking such an approach to nutrition might sound kind of iffy, calorie estimates generated by the crowd-sourced system are apparently just as accurate as those provided by trained nutritionists, and more accurate than self-kept logs.

PlateMate was first developed by Jon Noronha and Eric Hysen, when they were undergrads in Harvard University’s School of Engineering and Applied Sciences.

Users start by taking a photo of their meal, then submitting it to the crowd. That crowd is coordinated using Amazon Mechanical Turk, a collaborative system that was first developed to help improve Amazon product listings. Individual Turkers, as they’re called, look over the submitted photos and try to determine which foods are present in each one, and in what approximate quantities. The total caloric value of the meal is then automatically calculated, the system averages out the totals generated by the various Turkers, and the user is provided with their answer.

Each Turker receives a nominal payment for every task they accomplish.

Presumably, PlateMate users don’t sit around with the food still on their plate, waiting to see the results before tucking in. The crowd feedback for one meal choice, however, could guide them in choosing types and amounts of foods in subsequent meals.

There were some hiccups (no pun intended) in setting up the system. Some Turkers, for instance, misidentified foods submitted by users from other cultures. Other Turkers took the lazy approach – from an on-screen list of types of food, they simply selected the first term that had some relevance to a food they had identified, instead of searching through the list for a more specific term. These problems were addressed by breaking the process down into clearly defined tasks, posting warnings about common errors, being more selective when choosing Turkers, and applying algorithms that chose the most-likely-to-be-accurate food identification from a number that were selected for one item.

Down the road, user submissions may also be pared with locational data, so Turkers will know the geographical context of what they’re looking at.

"A lot of prior crowdsourcing research has been about making crowds do things that we wish computers could do, like shorten an 800-word essay to 500 words and have it still make sense," said Noronha. "What makes the nutrition application so interesting as a problem in crowdsourcing is that computers are so very far away from doing it on their own – because food is such a human thing."

Known as Gloria (GLObal Robotic telescopes Intelligent Array for e-Science), the three-year European project will ultimately include 17 telescopes on four continents, run by 13 partner groups from Russia, Chile, Ireland, the United Kingdom, Italy, the Czech Republic, Poland and Spain. Not only will users be able to control the telescopes from their computers, but they will also have access to the astronomical databases of Gloria and other organizations.

The telescope at Spain’s Montegancedo Observatory is serving as the model for Gloria. Located at the Universidad Politécnica de Madrid’s Facultad de Informática, it can already be remotely operated through the internet, using the university’s Ciclope Astro software. This same software will be used by all the Gloria telescopes, to ensure uniformity across the system.

The amount of time that individual users get on the telescopes will be based on their "Karma," determined by how popular their work is with their fellow users. It will reportedly be somewhat like YouTube, where users vote on each other’s video posts.

While the EUR2.5 million (US$3.4 million) project is intended to help armchair astronomers of all types explore the Universe for themselves, it will also be used for crowd-sourced research. The University of Oxford in particular will be using Gloria for its Galaxy Zoo project, in which users are recruited to help classify approximately a million galaxies. Astronomical events will also be broadcast on the system, to help promote Gloria and built its user community.

A consumer version of a system already in use at some U.S. animal shelters, iPet Companion Home Version lets computer users remotely control dog or cat toys located in their home, watching their pets reacting to those toys’ movements in real time. For some people, it could be the biggest workplace distraction since Facebook.

The in-home iPet hardware consists of a webcam, a control box, and two mechanisms that are capable of swinging and bobbing one pet toy each (which aren’t included). Remotely accessing a password-protected online portal, users utilize onscreen controls to operate the two mechanisms, making the toys move. The live webcam feed shows them the moving toys, along with their critters’ reactions – hopefully, the animals will respond by playing with the toys, as opposed to being freaked out by two inanimate objects that appear to be moving on their own.

If users don’t want to spend too much company time goofing off with Fido or Felix, they can spread the playtime around by giving their password to family and friends. In the commercial version of iPet Companion, anyone can access the portals, with users often having to wait several minutes in an online queue before they can interact with the shelter animals.

Graph of media sentiment towards Egypt january 1979 – March 2011

Nipping at the heels of yesterday’s story about the software that automatically writes news articles comes another technological innovation changing the shape of journalism: software that reads news articles.

Kalev Leetaru of the University of Illinois determined that using the Nautilus SGI supercomputer to analyze news stories can help predict major world events. The analysis he used for the experiment was retrospective, feeding the computer millions of articles from which it was able to determine a deteriorating national sentiment towards Libya and Egypt before the revolutions in those countries. The system was also able to narrow down Osama Bin Laden’s location to within 125 miles before he was found and killed last May.

More than 100 million articles were gathered for this study, from various sources including the New York Times archive, Open Source Center and BBC Monitoring (two organizations that monitor local media output worldwide). The system searched for two primary things in the articles: mood and location. Words such as “nice” or “horrible” were used to measure mood, and geocoding converted mentions of places such as “Cairo” or “Pakistan” to plottable coordinates.

For countries that experienced the “Arab Spring,” the supercomputer produced graphs that showed a noticeable decline in media sentiment both within each country and without. Before President Mubarak’s resignation, the tone of media coverage of Egypt fell to one of its lowest points in 30 years, predicting something that U.S. government could not. As Leetaru told BBC news, the president’s continued support of Mubarak showed that high-level analysis suggested Mubarak wasn’t going anywhere. The graph, however, suggests otherwise.

Leetaru’s next step is developing technology to allow this system to forecast major world events, rather than just analyzing them after the fact. He compares it to economic forecasting algorithms, as well as meteorology, in that none of those systems (including his) are perfect, but using them is far better than just guessing.

In April, the University of Southern California made the headlines when it announced that researchers there had created a functioning synthetic synapse circuit using carbon nanotubes. Well, today IBM unveiled a new class of experimental computer chips that are designed to emulate the human brain’s abilities for perception, action and cognition. According to the company, "The technology could yield many orders of magnitude less power consumption and space than used in today’s computers."

Utilizing advanced algorithms and silicon circuitry, the two prototype "neurosynaptic computing chips" are said to recreate the phenomena that takes place between spiking neurons and synapses in biological systems. The idea is that such chips would be used in "cognitive computers," which would learn through experiences – like the human brain – rather than simply being programmed.

To that end, IBM has joined forces with a number of academic partners, to develop such computers through the Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project. According to the company, "The goal of SyNAPSE is to create a system that not only analyzes complex information from multiple sensory modalities at once, but also dynamically rewires itself as it interacts with its environment – all while rivaling the brain’s compact size and low power usage." Phases 0 through 1 have already been completed, while the Defense Advanced Research Projects Agency (DARPA) has reportedly awarded the project US$21 million in funding for Phase 2.

The two chips themselves contain no biological components. According to the press release, however, both chips do feature 256 artificial neurons, with one core containing 262,144 programmable synapses, and the other containing 65,536 learning synapses. In lab tests, the chips have so far been used to execute simple applications such as navigation, machine vision, pattern recognition, associative memory and classification.

Ultimately, IBM hopes to produce a chip system featuring ten billion neurons and hundred trillion synapses, that would consume one kilowatt of power and have a volume of less than two liters (0.5 U.S. gallons).

"Future applications of computing will increasingly demand functionality that is not efficiently delivered by the traditional architecture," said Dharmendra Modha, project leader for IBM Research. "Imagine traffic lights that can integrate sights, sounds and smells and flag unsafe intersections before disaster happens or imagine cognitive co-processors that turn servers, laptops, tablets, and phones into machines that can interact better with their environments."

Partners in Phase 2 of SyNAPSE include Columbia University, Cornell University, the University of California at Merced, and the University of Wisconsin, Madison.

A Japanese supercomputer is now the world’s fastest, unseating the previous record-holder by nearly a factor of four. The K Computer, based at the RIKEN Advanced Institute for Computational Science (AICS) in Kobe, can perform 8 petaflops — that’s 8 quadrillion calculations per second.

The next-best computer is China’s Tianhe-1A , which set a record at 2.6 petaflops last fall. The U.S.-based Jaguar computer at Oak Ridge National Laboratory is now in third place with 1.75 petaflops.

K Computer topped the newest TOP500 List of the world’s fastest supercomputers, announced Monday at the International Supercomputing Conference in Hamburg.

K Computer, built by Fujitsu and entirely made in Japan, has 672 racks equipped with a current total of 68,544 SPARC64 VIIIfx CPUs, each with eight cores. It will eventually have 800 racks and will be capable of performing 10 petaflops, according to a news release from RIKEN. RIKEN and Fujitsu plan to have the computer fully operational by November 2012.

At least two American 10-petaflop machines are set to come online next year — IBM is building Mira, based at Argonne National Laboratory, and Blue Waters, based at the University of Illinois at Urbana-Champaign’s National Center for Supercomputing Applications. Lawrence Livermore National Laboratory is getting a 20-petaflop IBM model called Sequoia.

K computer will be used for global climate research, meteorology, disaster prevention, and medicine, according to RIKEN.

The BCMI lets you create music using nothing more than eye movement and brainwaves

Imagine a Wii that lets you play a musical instrument with your brain without touching strings or a keyboard. That’s exactly what this "proof of concept" brain-computer-music-interface (BCMI) is designed to do – it uses brain waves and eye movement to sound musical notes, so even a person with "locked-in-syndrome" could participate in creative activity analogous to learning to play a musical instrument. Developed by a team headed by Eduardo Miranda, a composer and computer music specialist from the UK’s University of Plymouth, the BCMI can be set up on a laptop computer for under $3,500 (including the computer). For people who are disabled, assistive technology usually aims at day-to-day functioning and largely ignores the unique aspect of being a human – creativity. This is different.

The Brain Computer Interface as an assistive technology

"Creativity – like human life itself – begins in darkness." – Julia Cameron

No-one wants to even think about it but imagine a car crash or a stroke left you totally paralyzed and your only active movements were eye movements, facial gestures and minimal head movements. If you still retain full cognitive capacity, you would have what is called locked-in syndrome, a fate some might regard worse than death. For any person with a disability, one of the biggest obstacles is that people simply assume that if your body doesn’t work, then your brain is probably not capable of much either. How much worse is this for the person isolated by locked-in syndrome?

Historically, assistive technologies have relied on the person being able to maneuver at least one part of their body. For example, an Augmented Communication Device may require them to press buttons on a keyboard that has pre-designated questions, statements or responses. These devices can be adapted in order for the buttons to be pressed with a finger, a toe, or a metal-pointer attached to their head. Pretty impressive. But what about people with locked-in syndrome who aren’t capable of such motor function other than eye movements? Most of the technology has been simply passing them by.

Technology in the form of the brain computer interface (BCI) provides hope for these and many other people because we no longer have to imagine being able to use our thoughts to control a wheelchair or a communication device. In the past decade this technology has moved increasingly from fantasy into a reality.

In 2007, Mike Hanlon wrote about "The first commercially available Brain Computer Interface" and pointed out how work in the area was focused on enabling paralyzed humans to communicate far more freely, but noted the potential to enhance everyone was not that far away. He was right. Within the last five years we have moved from the ability to point with the mind to a thought controlled cursor. And we have moved from driving wheelchairs with brainwaves to driving a car controlled by mind power.

The brain-computer-music-interface

This latest development has thrust the BCI into the world of music and creativity where, in this, its first use, the brain computer musical interface promises to enhance life immensely for those with a most severe disability, locked-in syndrome.

This is the brainchild of a team headed up by Eduardo Miranda, and the Plymouth BCMI Project [PDF]. The system is not yet wireless, but uses a laptop computer, related software, 3 electrodes and an EEG amplifier and can be built for under US$3,500.

Using brainwaves a person can almost immediately produce a full range of musical notes from this device by simply looking intently at one of four icons. These four icons are responsible for sounding pitch, rhythm, and controlling the strength and speed of the notes. Like learning to play a musical instrument, playing music with this device requires skill and learning. As the scientists note, however, this can be an attractive attribute.

With minimal practice in this proof of concept test, the person with locked-in syndrome rapidly demonstrated skill at playing and found it an enjoyable experience.

Check out what such a device can do when output from it is hooked into a piano keyboard. A practiced person has the potential to play masterful music using nothing but his or her brainwaves.

A whole new medium for creativity

Assistive technologies have made life easier for millions of people with disabilities around the globe. We have technology that can help people at home and at work; help them to communicate; help them with mobility. In fact you could say we’ve got technology for almost everything important to a person’s life, right? But until now, these technologies largely ignored the most unique aspect of being a human – creativity.

In the grand scheme of life, you probably wouldn’t say that cooking dinner for yourself or getting yourself out of bed in the morning were the things you were most proud of achieving. People want to be unique, innovative, and admired for their talents. Why else would we write books, design cars, or start our own companies? It’s in our nature to create. The BCMI promises to give a whole new medium for creativity because it can be used by anyone almost regardless of any physical disability. Inside each one of us is the untapped potential to be the next Beethoven without the agony of studying music theory or learning the piano. All you need is a brain.