Download RSS feed: News Articles / In the Media / Audio
MIT junior Ian Reynolds has constructed an LED display mapping the location of MBTA vehicles across the city’s subway lines, reports Steve Annear for The Boston Globe. “Our transit system has a lot of personality,” says Reynolds. “It’s very, very integrated into the fabric of the city.”
CNBC’s Robert Ferris reports that researchers at MIT and Boston Children’s Hospital have devised a new method to create 3-D heart models. The new technique allows doctors to 3-D print replicas of a patient’s heart within 24 hours, making it practical for hospital use, Ferris explains.
Researchers at MIT and Boston Children’s Hospital are developing a new technique to convert images from MRI scans into physical models of the human heart, writes Lindsay Kalter for The Boston Herald. “This can definitely impact clinical practice in terms of helping surgeons plan more efficiently,” explains graduate student Danielle Pace.
“Researchers from MIT and Boston Children’s Hospital say they’ve come up with a better, faster way to build heart models,” writes Barb Darrow for Fortune. The team has devised a method for 3-D printing model hearts from MRI scans that takes three to four hours compared to the 10 hours typically required using current methods.
Richard Waters of The Financial Times reports that Toyota is funding new research centers at MIT and Stanford to research technologies that could enable computer-assisted driving. Waters explains that the goal behind the new centers is to give “drivers the choice one day of handing over full control to the AI ‘brains’ in their vehicles.”
In an effort to spur breakthroughs in autonomous driving technology, Toyota is funding new research centers at MIT and Stanford, the Associated Press reports. Prof. Daniela Rus explains that MIT researchers will be working on developing technology that would make it possible to build a car, “that is never responsible for a collision.”
Toyota has announced that it is funding new research centers at MIT and at Stanford dedicated to developing “intelligent” cars, reports John Markoff for The New York Times. “We see this as basic computer science, A.I. and robotics that will make a difference in transportation,” explains Prof. Daniela Rus.
A new center at MIT, a collaborative effort with Toyota, will be focused on broadening artificial intelligence technologies for cars, writes Eric Adams for Popular Science. Prof. Daniela Rus explains that the MIT center will dedicated to “helping reduce traffic casualties, and potentially even helping us develop a vehicle incapable of getting into a collision.”
Toyota is partnering with MIT and Stanford to research autonomous-vehicle technology, reports Marco della Cava for USA Today. “Toyota will use its MIT and Stanford investment dollars to develop on-board systems that will improve an automobile's ability to make smart driving decisions in split seconds when the driver is either unaware or too slow.”
Nidhi Subbaraman of BetaBoston reports on how MIT researchers have developed a fleet of self-driving golf carts. “The group road-tested a fleet of self-driving golf carts at a park in Singapore over six days,” writes Subbaraman.
Kelsey Atherton reports for Popular Science that MIT researcher have developed and tested a self-driving golf cart in a public garden in Singapore. Atherton writes that one potential use for the self-driving golf carts is a shared vehicle system where the carts would “drive people to their destination, and then either return or seek new riders.”
A group of MIT researchers has designed a computer file system that will not lose track of data when a computer crashes, reports Matt Chiappetta for Forbes. The system “is mathematically guaranteed not to lose track of data during crashes,” writes Chiappetta.
Prof. Michael Stonebraker speaks with Randy Bean of The Wall Street Journal about big data and how companies handle data integration. “We are in the midst of an explosion of new ideas that will change the data landscape,” says Stonebraker.
In a study examining online learning, MIT researchers have uncovered a new type of cheating in online courses and identified ways to prevent such behavior, reports Laura Krantz for The Boston Globe. Krantz explains that while the researchers “want to stop the cheating, they are equally interested in the benefits of this new type of online education.”
Inside Higher Ed reporter Carl Straumsheim writes about a study conducted by researchers from MIT and Harvard that identifies a new type of cheating in massive open online courses (MOOCs). The researchers found that “the prevalence of cheating varied by discipline,” Straumsheim explains, with just 0.1 percent of learners appearing to have employed the technique in computer science courses.