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A new study conducted by MIT researchers shows that ride-sharing services could reduce the number of cars on the road in New York City by 75 percent, according to the BBC News. The researchers found that “a fleet of 3,000 four-passenger taxis could do the same job as the current fleet of 13,000 yellow cabs in New York City.”
BBC News reports that CSAIL researchers have created an algorithm that can manipulate still objects in photographs and videos. The technique doesn’t require any special cameras, which makes it great for improving the realism in augmented reality games like Pokémon Go.
Dan Misener reports for CBC News that MIT researchers have developed a new wireless tracking system, called Chronos, that can pinpoint a user’s location to within centimeters. Misener explains that Chronos, “can be used to turn a regular Wi-Fi router into a sort of radar system that can detect objects and where they are in the world.”
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.
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.”
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.”
Huffington Post reporter Nitya Rajan writes about a new 3-D printer designed by researchers at MIT CSAIL that can print up to 10 different materials at once. Rajan writes that, “this machine has just bought us one step closer to printing just about anything we fancy, on demand.”
MIT researchers have developed an algorithm that allows a team of three robots to serve drinks, writes Gordon Gottsegen for Wired: “While the real-world application of this research may seem like the beer fetching itself (to us at least), the method that allows robots to execute tasks despite uncertainty may have practical usages.”
Alexandra Ossola writes for Popular Science about a computer program created by MIT researchers that can aid in early detection of dementia by analyzing a patient’s drawings. The program “may enable doctors to diagnose patients much more quickly, and to intervene earlier to stave off the onset of cognitive degeneration.”
“Google And Massachusetts Institute of Technology have figured out a way to remove those annoying reflections and other image obstructions, including fences and rain drops, from photos,” writes Nitya Rajan for The Huffington Post. The algorithm uses a short video to separate the foreground and background of an image.
LJ Rich reports for The BBC on an algorithm created by MIT and Google researchers that can remove reflections and obstructions from images. “The technique separates the foreground from the background using frames from a short video,” explains Rich.
“MIT PhD student Abe Davis has developed video technology that reveals an object’s hidden properties,” writes Joanna Goodman for The Guardian. “Davis uses high-speed silent video to capture and reproduce sound, including music and intelligible speech, from the vibrations it makes on inanimate objects.”
Barb Darrow reports for Fortune that MIT researchers have discovered a vulnerability in Tor, a network known for cloaking user identities and locations, as well as a way to fix the problem. It’s estimated that 2.5 million people use Tor daily, Darrow explains.