Researchers at Carnegie Mellon Univ. (CMU) who develop snake-like robots have picked up a few tricks from real sidewinder rattlesnakes on how to make rapid and even sharp turns with their undulating, modular device. Working with colleagues at the Georgia Institute of Technology and Zoo Atlanta, they have analyzed the motions of sidewinders and tested their observations on CMU’s snake robots.
The most realistic risks about the dangers of artificial intelligence are basic mistakes,...
Researchers from Brown and Johns Hopkins have come up with a new way to evaluate how well...
With the most unpredictable U.K. general election looming in modern times, how can big data be...
Ninety percent of automobile accidents involve human error. If scientists succeed in producing computer-driven cars, responsibility may shift to programming errors. In that case, who sues whom? Who is liable?
Researchers building a new underwater robot they’ve dubbed the “Millennium Falcon” certainly have reason to believe it will live up to its name. The robot will deploy instruments to gather information in unprecedented detail about how marine life interacts with underwater equipment used to harvest wave and tidal energy.
People typically consider doing the laundry to be a boring chore. But laundry is far from boring for artificial intelligence (AI) researchers. To AI experts, programming a robot to do the laundry represents a challenging planning problem because current sensing and manipulation technology is not good enough to identify precisely the number of clothing pieces that are in a pile and the number that are picked up with each grasp.
Scientists have developed an octopus-like robot, which can zoom through water with ultra-fast propulsion and acceleration never before seen in man-made underwater vehicles. Most fast aquatic animals are sleek and slender to help them move easily through the water but cephalopods, such as the octopus, are capable of high-speed escapes by filling their bodies with water and then quickly expelling it to dart away.
When disaster strikes, it's important for responders and emergency officials to know what critical infrastructure has been damaged so they can direct supplies and resources accordingly. Doug Stow, a geography professor from San Diego State Univ., is developing a program that uses before-and-after aerial imagery to reveal infrastructure damage in a matter of minutes.
For decades, researchers in artificial intelligence, or AI, worked on specialized problems, developing theoretical concepts and workable algorithms for various aspects of the field. Computer vision, planning and reasoning experts all struggled independently in areas that many thought would be easy to solve, but which proved incredibly difficult.
Much of our reams of data sit in large databases of unstructured text. Finding insights among emails, text documents and Websites is extremely difficult unless we can search, characterize and classify their text data in a meaningful way. One of the leading big data algorithms for finding related topics within unstructured text (an area called topic modeling) is latent Dirichlet allocation (LDA).
Every undergraduate computer science major takes a course on data structures, which describes different ways of organizing data in a computer’s memory. Every data structure has its own advantages: Some are good for fast retrieval, some for efficient search, some for quick insertions and deletions and so on. Today, hardware manufacturers are making computer chips faster by giving them more cores, or processing units.
A device, possibly an unmanned aerial drone, was found on the White House grounds during the middle of the night while President Barack Obama and the first lady were in India, but his spokesman said today that it posed no threat. It was unclear whether their daughters, Sasha and Malia, were at home at the time of the incident with their grandmother, Marian Robinson, who also lives at the White House.
Optimization algorithms are everywhere in engineering. Among other things, they’re used to evaluate design tradeoffs, to assess control systems and to find patterns in data. One way to solve a difficult optimization problem is to first reduce it to a related but much simpler problem, then gradually add complexity back in, solving each new problem in turn and using its solution as a guide to solving the next one.
Acute care nurse practitioner students, specializing in flight nursing at Case Western Reserve Univ., will soon be training in the nation’s first state-of-the-art simulator built in an actual helicopter. The simulator creates the sense of treating critically injured patients from takeoff to landing. The helicopter simulator was installed at the university’s Cedar Avenue Service Center.
The stars are aligning for science and engineering, as a new movie about a high school robotics team makes its debut in theaters nationwide. The movie, “Spare Parts,” is based on FIRST Robotics Competition Team 842 - Falcon Robotics, from Carl Hayden Community High School in Phoenix, Ariz., and their famous robotic underdog victory against MIT which was chronicled in the WIRED article “La Vida Robot” in 2005.
For household robots ever to be practical, they’ll need to be able to recognize the objects they’re supposed to manipulate. But while object recognition is a highly studied topic in artificial intelligence, even the best object detectors still fail much of the time. Researchers at MIT believe that household robots should take advantage of their mobility and their relatively static environments to make object recognition easier.
The Federal Aviation Administration has issued permits to use drones to monitor crops and photograph properties for sale, marking the first time permission has been granted to companies involved in agriculture and real estate. The exemptions to the current ban on commercial drone flights were granted to Advanced Aviation Solutions in Star, Idaho, for “crop scouting,” and to Douglas Trudeau of Tierra Antigua Realty in Tucson, Arizona.
ESA is developing technologies for advanced human–machine interaction to transfer the human sense of touch to space.
A walking molecule, so small that it cannot be observed directly with a microscope, has been recorded taking its first nanometer-sized steps. It's the first time that anyone has shown in real time that such a tiny object – termed a "small molecule walker" – has taken a series of steps.
For the first time, scientists report the development of a stretchable “electronic skin” closely modeled after our own that can detect not just pressure, but also what direction it’s coming from.
Computers are good at identifying patterns in huge data sets. Humans, by contrast, are good at inferring patterns from just a few examples. In a recent paper, Massachusetts Institute of Technology researchers present a new system that bridges these two ways of processing information, so that humans and computers can collaborate to make better decisions.
Researchers from the Queen Mary Univ. of London gave a computer program the outline of how a magic jigsaw puzzle and a mind-reading card trick work, as well the results of experiments into how humans understand magic tricks, and the system created completely new variants on those tricks which can be delivered by a magician.
North Carolina State Univ. researchers have developed technology that allows cyborg cockroaches, or biobots, to pick up sounds with small microphones and seek out the source of the sound.
Scientists at IBM and leading global energy company Repsol S.A. announced this week the world’s first research collaboration to leverage cognitive technologies that will help transform the oil and gas industry. IBM and Repsol are jointly developing two prototype cognitive applications specifically designed to augment Repsol’s strategic decision making in the optimization of oil reservoir production and in the acquisition of new oil fields.
As transistors get smaller, they also grow less reliable. Increasing their operating voltage can help, but that means a corresponding increase in power consumption. With information technology consuming a steadily growing fraction of the world’s energy supplies, some researchers and hardware manufacturers are exploring the possibility of simply letting chips botch the occasional computation.
Inside Massachusetts Institute of Technology’s Building 41, a small, Roomba-like robot is trying to decided where to go. As the robot considers its options, its “thoughts” are projected on the ground in the form of different colored dots and lines. This new visualization system, called “measurable virtual reality”, combines projectors with motion-capture technology and animation software to project a robot’s intentions in real time.
Massachusetts Institute of Technology researchers unveiled an oval-shaped submersible robot, a little smaller than a football, with a flattened panel on one side that can slide along an underwater surface to perform ultrasound scans. Originally designed to look for cracks in nuclear reactors’ water tanks, the robot could also inspect ships for the false hulls and propeller shafts that smugglers frequently use to hide contraband.
Washington State Univ. professor Rich Lamb has figured out a dramatically easier and more cost-effective way to do research on science curriculum in the classroom, and it could include playing video games. Called “computational modeling,” it involves a computer “learning” student behavior and then “thinking” as students would. Lamb, who teaches science education, says the process could revolutionize the way educational research is done.
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