Being stuck in miles of halted traffic is not a relaxing way to start or finish a summer holiday. And as we crawl along the road, our views blocked by by slow-moving roofboxes and caravans, many of us will fantasize about a future free of traffic jams.
As a mathematician and motorist, I view traffic as a complex system, consisting of many interacting agents including cars, trucks, cyclists and pedestrians. Sometimes these agents interact in a free-flowing way and at other (infuriating) times they simply grind to a halt. All scenarios can be examined – and hopefully improved – using mathematical modeling, a way of describing the world in the language of maths. Read More
When we talk of the history of computers, most of us will refer to the evolution of the modern digital desktop PC, charting the decades-long developments by the likes of Apple and Microsoft. What many don’t consider, however, is that computers have been around much longer. In fact, they date back millennia, to a time when they were analogue creations.
Today, the world’s oldest known “computer” is the Antikythera mechanism, a severely corroded bronze artifact which was found at the beginning of the 20th Century, in the remains of a shipwreck near the Mediterranean island of Antikythera. It wasn’t until the 1970s that the importance of the Antikythera mechanism was discovered, when radiography revealed that the device is in fact a complex mechanism of at least 30 gear wheels. Read More
There are three things you can be sure of in life: death, taxes – and lying. The latter certainly appears to have been borne out by the UK’s recent Brexit referendum, with a number of the Leave campaign’s pledges looking more like porkie pies than solid truths.
But from internet advertising, visa applications and academic articles to political blogs, insurance claims and dating profiles, there are countless places we can tell digital lies. So how can one go about spotting these online fibs? Well, Stephan Ludwig from the University of Westminster, Ko de Ruyter from City University London’s Cass Business School, Mike Friedman of the Catholic University of Louvain, and yours truly have developed a digital lie detector – and it can uncover a whole host of internet untruths.
In our new research, we used linguistic cues to compare tens of thousands of emails pre-identified as lies with those known to be truthful. And from this comparison, we developed a text analytic algorithm that can detect deception. It works on three levels.
Keyword searches can be a reasonable approach when dealing with large amounts of digital data. So, we first uncovered differences in word usage between the two document sets. These differences identify text that is likely to contain a lie. We found that individuals who lie generally use fewer personal pronouns, such as I, you, and he/she, and more adjectives, such as brilliant, fearless, and sublime. They also use fewer first-person singular pronouns, such as I, me, mine, with discrepancy words, such as could, should, would, as well as more second-person pronouns (you, your) with achievement words (earn, hero, win).
Fewer personal pronouns indicate an author’s attempt to dissociate themselves from their words, while using more adjectives is an attempt to distract from the lie through a flurry of superfluous descriptions. Fewer first-person singular pronouns combined with discrepancy words indicate a lack of subtlety and a positive self-image, while more second-person pronouns combined with achievement words indicate an attempt to flatter recipients. We therefore included these combinations of search terms in our algorithm.
Another part of the solution lay in analyzing the variance of cognitive process words, such as cause, because, know and ought – and we identified a relationship between structure words and lies.
Liars cannot generate deceptive emails from actual memory so they avoid spontaneity to evade detection. That does not mean that liars use more cognitive process words overall than people who are telling the truth, but they do include these words more consistently. For example, they tend to connect every sentence to the next – “we know this happened because of this, because this ought to be the case”. Our algorithm detects such usage of process words in communications.
We also studied the ways in which a sender of an email alters their linguistic style while exchanging a number of emails with someone else. This part of the study revealed that as the exchange went on, the more the sender tended to use the function words that the receiver was using.
Function words are words that contribute to the syntax, or structure, rather than the meaning of a sentence – for example an, am, to. And senders revised the linguistic style of their messages to match that of the receiver. As a consequence, our algorithm identifies and collects such matching.
Consumer watchdogs can use this technology to assign a “possibly lying” score to advertisements of a dubious nature. Security companies and national border forces can use the algorithm to assess documents, such as visa applications and landing cards, to better monitor compliance with access and entry rules and regulations. Secretaries of higher education exam committees and editors of academic journals can improve their proofing tools for automatically checking student theses and academic articles for plagiarism.
In fact, the potential applications go on and on. Political blogs can successfully monitor their social media interactions for textual anomalies, while dating and review sites can classify messages submitted by users on the basis of their “possibly lying” score. Insurance companies can make better use of their time and resources available for claim auditing. Accountants, tax advisers, and forensic specialists can investigate financial statements and tax claims and find deceptive smoking guns through our algorithm.
Humans are startlingly bad at consciously detecting deception. Indeed, human accuracy when it comes to spotting a lie is just 54 percent, hardly better than chance. Our digital lie detector, meanwhile, is 70 percent accurate. It can be put to work to fight fraud wherever it occurs in computerized content and as the technology evolves, its Pinocchio warnings can be wholly automated and its accuracy will increase even further. Just as Pinocchio’s nose reflexively signaled falsehood, so does our digital lie detector. Fibbers beware.
While working as a professor in the sensory-motor systems lab at the Swiss Federal Institute of Technology in Zurich (ETH), Robert Riener noticed a need for assistive devices that would better meet the challenge of helping people with daily life. He knew there were solutions, but that it would require motivating developers to rise to the challenge.
So, Riener created Cybathlon, the first cyborg Olympics where teams from all over the world will participate in races on Oct. 8 in Zurich that will test how well their devices perform routine tasks. Teams will compete in six different categories that will push their assistive devices to the limit on courses developed carefully over three years by physicians, developers and the people who use the technology. Eighty teams have signed up so far.
Riener wants the event to emphasize how important it is for man and machine to work together—so participants will be called pilots rather than athletes, reflecting the role of the assistive technology.
“The goal is to push the development in the direction of technology that is capable of performing day-to-day tasks. And that way, there will an improvement in the future life of the person using the device,” says Riener.
Here’s a look at events that will be featured in the first cyborg Olympics.
Brain-Computer Interface Race
A woman sits at a computer while wearing a cap that has several electrodes attached to her head, wires cascading down her back waves. She’s playing a video game, but instead of using her hands, she’s using only her thoughts to drive a brain-computer interface system.
During the Cybathlon, participants with complete or severely impaired motor function will use their thoughts to control an avatar in a racing video game. The winner will be the first to complete the race, maneuvering an avatar over obstacles and accelerating to the finish line. An algorithm will help determine which team’s interface performed the best. Brain-computer interface devices are a key technologies that will allow people to control future prostheses with their minds.
Functional Electrical Stimulation Bike Race
Functional Electrical Stimulation (FES) is a technique that sends electrical impulses to paralyzed individuals’ muscles to trigger movement. FES can help build muscle mass, increase blood circulation and and improve cardiovascular health. At Cybathlon, paralyzed bike racers will rely on FES to complete about five laps around a racetrack, equalling about 2,200 feet — first to the finish wins. Electrodes will deliver electrical stimulation to their muscles, giving them the leg-power to pedal their bikes. The pilots can actually control how much current they send to their muscles, so balancing speed and stamina will be key to winning the race.
Generally, electrodes are placed on a persons’s skin, but one team—the Center for Advanced Platform Technology from Cleveland—will surgically implant them closer to nerves where they can reach more fiber, reduce muscle fatigue and increase precision. Members of Team Cleveland developed implants — over the course of two decades — that allow a person with paraplegia to stand, perform leg lifts and take steps. For Cybathlon, they’ll adapt their system for bike riding.
Powered Arm Prosthesis Race
The powered arm prosthesis race will show just how important performing basic, daily tasks are to Riener. Pilots with arm amputations will need to carry a tray of breakfast items, for example, and then prepare a meal by opening a jar of jam, slicing bread and putting butter on the bread — tasks that are easy to take for granted. Pinning clothing on a clothes line and putting together a puzzle with pieces that will each require a different type of grip are also challenges in this event.
A prosthetic hand created by the M.A.S.S. Impact team from Simon Fraser University in Canada is a unique design that uses sensors and algorithms to recognize a grip pattern, and users can control the bionic hand in small, precise movements. The system also generates computer models to improve function over time. Last year, organizers held a Cybathlon rehearsal last year, and Riener was especially impressed by OPRA Osseointegratio, a Swedish team that designed a surgically implanted hand controlled by a person voluntarily contracting his muscles. The technology is currently in human trials, and the team’s pilot is the first recipient.
Powered Leg Prosthesis Race
Designing prostheses for lower limbs presents an entirely different set of challenges. Riener hopes to see prosthetic legs at the Cybathlon that can handle uneven terrain, which has been a challenge in the past. During the leg prosthesis race, pilots will compete on parallel tracks through obstacle courses laden with beams, stones, stairs and slopes. Right now, only the most advanced prostheses can handle these challenges — many are heavy and aren’t powerful enough.
Team Össur will bring four different prosthetic legs to the competition. Riener says this team in particular is making incredible advancements in the field. He’s particularly impressed with their commercially available motorized knee prosthesis, as he says it’s more robust and reliable than many past devices. The team is also entering a powered leg prosthesis that is an upgrade to the powered knee and is still a prototype stage; it uses motorized joints to help achieve a natural gait.
Powered Exoskeleton Race
Exoskeletons are worn around the legs to help those with paraplegia walk or even climb stairs. While they’ve been used by physiotherapists in hospitals to improve the health of patients with paralyzed legs, Riener says many designs are still bulky and difficult to use on a daily basis. There are about six companies around the world with exoskeletons on the market, and more prototypes are being developed in research labs around the world.
The Cybathlon exoskeleton event will include tasks that are particularly difficult for people using this technology to accomplish, such as stepping over stones and walking up a slope.
“With these challenges, we’re hoping to see more lifelike exoskeletons with more movability,” says Riener.
Powered Wheelchair Race
Those who use wheelchairs encounter challenges that other people might take for granted. Riener is excited to see how powered wheelchairs are evolving, getting smaller and more capable—in some cases even climbing stairs.
“At Cybathlon, they will have to fit beneath a table, go up a steep ramp, open a door and then close it again, and go down a steep ramp,” says Riener.
Scewo, a team from ETH Zurich developed a wheelchair that balances on two wheels like a Segway and can use a chain to climb up stairs or steep ramps.
While some of the teams are entering technology that is already on the market, Riener is especially excited to see new innovations that have been created from scratch, specifically for Cybathlon.
“It’s exciting to reach a large audience to talk about issues related to people with disabilities,” he says.
A nuclear-armed Pakistani aircraft crashes just over the Indian border and the situation is about to spiral out of control. In Washington D.C., nuclear physicists and geopolitical analysts belonging to the Bulletin of the Atomic Scientists are meeting to decide whether to advance the “Doomsday Clock” ahead by two minutes.
The Doomsday Clock is a symbolic representation of the level danger on planet Earth, and moving it ahead two minutes would take it to two minutes before midnight — two minutes before the end. This fictional scenario played out on a recent episode of Madam Secretary, but the Clock has been used as a snapshot of the dangers we face for well over five decades. But how do the hands on the Clock tick? Read More
3D printing, and additive manufacturing processes more generally, have made many advances in recent years. Just a few years ago, most 3D printing was only used for building prototypes, which would then go on to be manufactured via conventional processes. But it’s now increasingly being used for manufacturing in its own right.
Nearly two years ago, NASA even sent a 3D printer to the International Space Station with the goal of testing how the technology works in micro-gravity. While the printer resembles a Star Trek replicator, it’s not quite that sophisticated yet; the objects it can print are small prototypes for testing.
What I really want to do is to use the machine to complete the Sagrada Familia. And to build on the moon.
NASA, the European Space Agency (ESA) and entrepreneurs aiming to jump-start human colonization of space see the 3D printing of large scale objects, including entire habitations, as a major enabling technology for the future of space exploration.
In 2013, a project led by the ESA used simulated lunar regolith – i.e. loose top soil – to produce a 1.5-ton hollow cell building block. It was conceived as part of a dome shelter for a lunar base that would also incorporate an inflatable interior structure. The project used a D-Shape printer using Enrico Dini’s company, Monolite.
Since 2011, NASA has been funding similar research led by Professor Behrokh Khoshnevies at the University of Southern California. His team has been using a technology called contour crafting, which also has the goal of using 3D printing to construct entire space habitations from in situ resources.
After testing 3D printing in space, NASA has decided the technology is close to a tipping point. As part of a new program of public/private partnerships aimed at pushing emerging space capabilities over these tipping points, NASA has awarded a major contract to the Archinaut project.
The project will see a 3D printer, built by Made in Space, mated with a robotic arm, built by Oceaneering Space Systems, with Northrup Grumman providing the control software and integration with the ISS systems.
The goal of the project is to provide an on-orbit demonstration of large, complex structure – in this case a boom for a satellite – sometime in 2018.
But 3D manufacturing is already changing the aerospace industry. Composites, for example, have become a commonly used material for a wide variety of applications.
But composites tend to suffer weakness between their laminating layers, which can lead to material failures in crucial components. 3D weaving, which deploys fibers on three axes, is set to revolutionize these materials and their performances.
But the ability to use in situ materials, both for fuel, water and construction whether on the moon, Mars, or asteroids has long been recognized as a crucial ability to enable human exploration of the solar system.
Contests such as last the 3D Printed Habitat Challenge, part of NASA’s Centennial Challenges, are an important element of an innovation strategy designed to push the envelope of technology, leveraging entrepreneurial spirit, scientific and technological know-how and design thinking in a bid to take human space exploration to the next level.
The winning design, announced at the New York Makers Faire in September, was the Mars Ice House.
The Mars Ice House Habitat, which would be printed out of ice from relatively abundant water on Mars’ northern hemisphere, is a far cry from the bunker-like spaces frequently envisioned for Mars bases. The ice would provide ample radiation protection while creating a radiant, light filled space reminiscent of a cathedral.
Space exploration has always been associated with visionary fiction and grandiose plans, and it looks like 3D manufacturing and construction may finally bring the printed word to life.
Nuclear fusion has long been considered the “holy grail” of energy research. It represents a nearly limitless source of energy that is clean, safe and self-sustaining. Ever since its existence was first theorized in the 1920s by English physicist Arthur Eddington, nuclear fusion has captured the imaginations of scientists and science-fiction writers alike.
Fusion, at its core, is a simple concept. Take two hydrogen isotopes and smash them together with overwhelming force. The two atoms overcome their natural repulsion and fuse, yielding a reaction that produces an enormous amount of energy.
But a big payoff requires an equally large investment, and for decades we have wrestled with the problem of energizing and holding on to the hydrogen fuel as it reaches temperatures in excess of 150 million degrees Fahrenheit. To date, the most successful fusion experiments have succeeded in heating plasma to over 900 million degrees Fahrenheit, and held onto a plasma for three and a half minutes, although not at the same time, and with different reactors.
The most recent advancements have come from Germany, where the Wendelstein 7-X reactor recently came online with a successful test run reaching almost 180 million degrees, and China, where the EAST reactor sustained a fusion plasma for 102 seconds, although at lower temperatures.
Still, even with these steps forward, researchers have said for decades that we’re still 30 years away from a working fusion reactor. Even as scientists take steps toward their holy grail, it becomes ever more clear that we don’t even yet know what we don’t know. Read More
If you use a car to get around, every time you get behind the wheel you’re confronted with a choice: how will you navigate to your destination? Whether it’s a trip you take every day, such as from home to work, or to someplace you haven’t been before, you need to decide on a route.
Transportation research has traditionally assumed that drivers are very rational and choose the optimal route that minimizes travel time. Traffic prediction models are based on this seemingly reasonable assumption. Planners use these models in their efforts to keep traffic flowing freely – when they evaluate a change to a road network, for instance, or the impact of a new carpool lane. In order for traffic models to be reliable, they must do a good job reproducing user behavior. But there’s little empirical support for the assumption at their core – that drivers will pick the optimal route. Read More
Go is a two-player board game that originated in China more than 2,500 years ago. The rules are simple, but Go is widely considered the most difficult strategy game to master. For artificial intelligence researchers, building an algorithm that could take down a Go world champion represents the holy grail of achievements.
Well, consider the holy grail found. A team of researchers led by Google DeepMind researchers David Silver and Demis Hassabis designed an algorithm, called AlphaGo, which in October 2015 handily defeated back-to-back-to-back European Go champion Fan Hui five games to zero. And as a side note, AlphaGo won 494 out of 495 games played against existing Go computer programs prior to its match with Hui — AlphaGo even spotted inferior programs four free moves.
“It’s fair to say that this is five to 10 years ahead of what people were expecting, even experts in the field,” Hassabis said in a news conference Tuesday. Read More
In fall, DARPA announced a major success in its Restoring Active Memory (RAM) program. Researchers implanted targeted electrical arrays in the brains of a few dozen volunteers — specifically in brain areas involved in memory.
The researchers found a way to read out neural “key codes” associated with specific memories, and then fed those codes back into the volunteers’ brains as they tried to recall lists of items or directions to places. While the results are still preliminary, DARPA claims that the RAM technique has already achieved “promising results” in improving memory retrieval.
Intriguing as this implant is, it’s only the latest in an ongoing series of neurological techniques and gizmos designed to boost and sharpen memory. The effects and implications of these systems raise questions that are worth consideration. Read More