Download RSS feed: News Articles / In the Media / Audio
In an article for Popular Science, Kate Baggaley speaks with Prof. Timothy Lu and postdoc César de la Fuente about strategies they are developing to tackle antibiotic resistance. Lu explains that researchers are attempting to develop an arsenal of treatments to “be able to come at the problem from a variety of different ways.”
New Scientist reporter Victoria Turk writes that MIT researchers have developed a system that can predict the future based off of a still image. Turk writes that the system could enable “an AI assistant to recognize when someone is about to fall, or help a self-driving car foresee an accident.”
Wired reporter Brian Barrett writes that MIT researchers have developed a new system that allows virtual reality headsets to operate wirelessly. The system uses “millimeter wave (mm wave) technology, a large band of spectrum whose potential has gone largely untapped,” Barrett explains.
In this WCVB segment, CSAIL postdocs Robert MacCurdy and Jeffrey Lipton explain their work developing a shock-absorbing material that could be used to help protect robots and smartphones, or in helmets. Liquid is used in the material to “absorb the energy and keep it inside,” Lipton explains.
Hal Hodson writes for New Scientist that MIT researchers have developed a system that allows virtual reality headsets to operate wirelessly. To solve the problem posed by sending vast amounts of data wirelessly, the researchers used a “different wireless technology called millimeter wave (mmWave), which is in a higher band of the frequency spectrum to that used by Wi-Fi.”
MIT researchers have developed a software system that allows scooters, cars and golf carts to operate autonomously, writes Dyllan Furness of Digital Trends. Prof. Daniela Rus explains that the system works both indoors and outdoors and “provides an end-to-end solution starting with the home or hospital room all the way to the destination.”
Writing for The Huffington Post, Adi Gaskell highlights how CSAIL researchers have developed system to help robots work together successfully. Gaskell explains that the system allows three robots to “work successfully together to ensure items are delivered accurately in an unpredictable environment.”
CSAIL researchers have a developed a system that can predict human emotions by using wireless signals to monitor breathing and heartbeats, writes Edd Gent in a Scientific American article. "The idea is that you can enable machines to recognize our emotions so they can interact with us at much deeper levels," says graduate student Fadel Adib.
To encourage safer driving in Boston, Mayor Martin Walsh has announced a competition that uses a smartphone app developed by MIT startup Cambridge Telematics to reward driver performance, reports Dante Ramos for The Boston Globe. The app gives motorists “star ratings if they stay off their phones; drive at reasonable speeds; and brake, accelerate, and turn carefully.”
Grace Williams reports for FOX News that CSAIL researchers are 3-D printing shock-absorbing skins to protect robots. “Dubbed the ‘programmable viscoelastic material’ (PVM) technique, MIT’s printing method gives objects the precise stiffness or elasticity they require,” writes Williams.
To develop safer, more durable robots, CSAIL researchers have developed a technique to 3-D print robots with shock-absorbing skins, reports Matt McFarland for CNN. McFarland explains that as the “‘bumpers’ aren't rigid, it's less dangerous for a robot to crash into something.”
Popular Science reporter Mary Beth Griggs writes that researchers from MIT’s Computer Science and Artificial Intelligence Lab have developed a method to 3-D print robots with customized shock absorbers. The researchers hope that the “shock absorbing material could be used to create better shock absorbers for delivery drones, shock-resistant shoe soles, and even helmets.”
Dr. Mallika Marshall reports for CBS Boston that MIT researchers have created a robot that helps maternity nurses make scheduling and placement decisions. “What we found was that the suggestions of the robot were accepted 90 percent of the time, which was very exciting for us,” explains Prof. Julie Shah.
CSAIL researcher have created a device that uses changes in heart beat and breathing to detect emotions, writes Forbes’ Kevin Murnane. The heart of the system,” writes Murnane, “is the algorithm that extracts the heartbeat from the RF signal. It’s an impressive achievement that solves a difficult problem.”
A device created by CSAIL researchers can detect emotions by wirelessly measuring heartbeats, according to the Associated Press. The device is “87 percent accurate in using heartrate and what it’s already learned about a person to recognize joy, pleasure, sadness or anger.”