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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.
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.”
In this video, the BBC’s LJ Rich reports on the 3-D printed, soft robotic hand developed by researchers at the MIT Computer Science and Artificial Intelligence Lab. Rich explains that the robotic hand can “handle objects as delicate as an egg and as thin as a compact disk.”
Lindsay Kalter reports for The Boston Herald that researchers from MIT, Philips, and Boston Medical Center are developing a non-invasive way to diagnose head injuries. Kalter explains that the study is part of a new collaboration between MIT and Philips and will “use data from an ultrasound machine taking measurements of blood pressure and flow.”
Researchers from MIT, Philips and Boston Medical Center are collaborating on new technology to diagnose brain injuries, reports Nidhi Subbaraman for BetaBoston. “The goal is to investigate whether ultrasound readers can help doctors assess the severity of a head injury,” Subbaraman writes.
Washington Post reporter Rachel Feltman writes that MIT researchers have designed a new robotic hand with soft, 3-D printed fingers that can identify and lift a variety of objects. Prof. Daniela Rus explains that her group’s robotic hand operates in a way that is “much more analogous to what we do as humans."
Writing for Popular Science, Mary Beth Griggs reports on the soft robotic gripper developed by researchers at MIT CSAIL. “The silicone fingers are equipped with sensors that analyze the object they are touching and compare it to other items in its database,” Griggs writes.
CNBC reporter Robert Ferris writes about how MIT researchers have developed a soft robotic hand that can identify and safely grasp delicate objects. Ferris explains that the researchers designed a “soft silicone ‘hand’ with embedded sensors that they can train to recognize different things.”
MIT CSAIL researchers have developed a silicon gripper that allows robots to grasp a wide variety of items, reports Nidhi Subbaraman for BetaBoston. Subbaraman explains that the hand expands “to accommodate a shape, and grasps radially – surrounding an object instead of picking it up with pincers.”
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.