In an article for New Scientist, Anna Nowogrodzki writes that MIT researchers have developed a device that allows users to answer the phone with a kick of their foot. “The system’s algorithm analyses the foot’s motion and transmits the information via Bluetooth to your phone,” writes Nowogrodzki.
Graduate student Daniel McDuff is developing a computer system that can read human emotions by monitoring facial movements, reports Jane Wakefield for BBC News. “It translates that into seven of the most commonly recognized emotional states - sadness, amusement, surprise, fear, joy, disgust and contempt,” McDuff explains.
In this video, BBC News reporter Stephen Beckett speaks with Prof. Dina Katabi about a new system her group developed that can track people through walls using wireless signals. “It’s using these very low-power signals, sending them, and observing the reflection of the body through the wall,” explains Prof. Dina Katabi.
Huffington Post reporter Nitya Rajan writes that MIT researchers have developed a device that can see through walls. Rajan explains that the device works by “sending wireless signals through a wall and capturing whatever bounces back off to put together an image of the person on the other side of the wall.”
Washington Post reporter Matt McFarland writes that MIT researchers have developed a device that tracks human movement through walls and could be used to monitor children or the elderly. “We want to provide peace of mind without intruding too much on lives or taking independence away,” explains Prof. Dina Katabi.
MIT researchers have developed a device that can trace the movement of a person’s silhouette through a wall using wireless signals, reports Robert Ferris for CNBC. The device can "distinguish up to 15 different individuals with 90 percent accuracy,” Ferris explains.
Hiawatha Bray writes for BetaBoston about Emerald, a new device created by MIT researchers that can track a person’s movements using wireless signals. “Our main interest is really elderly care,” explains Prof. Dina Katabi.
In honor of “Back to the Future II,” in which Marty McFly travels 30 years into the future, BBC reporter Jane O’Brien speaks with Media Lab Director Joi Ito about how technology might advance over the next 30 years. Ito says that his “dream invention is machine learning artificial intelligence that connects directly to my brain in some non-invasive way.”
MIT researchers have created an algorithm that outperforms humans when searching for patterns in data sets, reports Rachel Feltman for The Washington Post. The algorithm uses “raw datasets to make models predicting things such as when a student would be most at risk of dropping an online course.”
Seung Lee writes for Newsweek that MIT researchers have developed an algorithm that can outperform humans in finding patterns in data sets. The system takes “two to 12 hours for what a human could only do over the course of several months.”
MIT researchers have developed a new system that can help identify patterns in data sets, reports Tomas Morzon for UPI. The researchers explained that the new system could be a “crucial asset in finding what components of a data set should be analyzed in order to draw conclusions.”
Robert McMillan writes for Wired about Margaret Hamilton, whose work as an MIT computer scientist on the Apollo program helped to lay the foundations for modern software. “Software engineering, a concept Hamilton pioneered, has found its way from the moon landing to nearly every human endeavor,” McMillan explains.
Prof. Ramesh Raskar is leading the development of a new platform aimed at maintaining order and calm during the Kumbh Mela festival, the AP reports. "We want to see how we can take this amazing challenge in crowds and food and security and housing and transportation ... and see how we can make this a tech-savvy Kumbh Mela,” says Raskar.
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.