Washington Post reporter Matt McFarland writes that MIT researchers have created an algorithm that can produce realistic sounds. “The findings are an example of the power of deep learning,” explains McFarland. “With deep learning, a computer system learns to recognize patterns in huge piles of data and applies what it learns in useful ways.”
Popular Science reporter Mary Beth Griggs writes that MIT researchers have developed an algorithm that can learn how to predict sound. The algorithm “can watch a silent movie and create sounds that go along with the motions on screen. It's so good, it even fooled people into thinking they were actual, recorded sounds from the environment.”
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.”
Brian Barrett writes for Wired about the new system CSAIL researchers developed to increase the speed at which websites load. “When there’s a lot of objects on the page, that’s where Polaris can really help, because it’s important to prioritize some over the others,” explains graduate student Ravi Netravali.
Popular Science reporter Dave Gershgorn writes that MIT researchers have developed a new system that cuts down on the amount of time it takes for webpages to load. The system allows browsers to download web pages "more effectively, saving up to 34 percent of load time.”
CSAIL researchers have developed a new system that allows websites to load 34 percent faster than with a standard web browser, reports Charlotte Wilder for Boston.com. Wilder writes that, “the researchers tried out their code on 200 different websites, including Weather.com and ESPN, and found the load time was significantly less across the board.”
Scott Eisen of the Associated Press explores a new motion-tracking device developed by MIT researchers that can detect movement using wireless signals. "It's a sensor that can monitor people and allow you to control devices just by pointing at them," explains graduate student Fadel Adib.
In this video, CBS News correspondent Don Dahler speaks with Prof. Dina Katabi about her group’s work developing wireless technology that can track a person’s motion through walls. Katabi and her colleagues demonstrated how the system also detects a person’s elevation and could be used to help protect seniors at risk of falling.
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.
MIT Senseable City Lab researchers are competing in the Drones for Good competition with a swarm of drones that can fly collectively. BetaBoston reporter Nidhi Subbaraman explains that the MIT drone's "light, carbon fiber skeleton and shape mean the crafts can land on water and then take off again."
BBC News reporter Chris Neiger writes that MIT researchers have developed a new traffic management system to help drivers avoid congested roads. “According to field trials, the vehicle-to-vehicle (V2V)-based traffic solution resulted in an 8% increase in overall vehicle speed,” write Neiger.