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MIT researchers have developed a drone that can recognize obstacles while flying at speeds of 30 miles per hour, writes Mary Beth Griggs for Popular Science. The drone creates a map of the world, “identifying obstacles, and mapping a path around them.”
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.
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.”