Skip to content ↓

Topic

Algorithms

Download RSS feed: News Articles / In the Media / Audio

Displaying 556 - 570 of 571 news clips related to this topic.
Show:

Newsweek

Arnie Cooper of Newsweek writes about the new MIT study that found taxi sharing could have significant impacts on New York City’s transportation system. Researchers in the MIT Senseable City Lab envision a future application that would facilitate ride sharing. 

US News & World Report

U.S. News & World Report’s Alan Neuhauser writes about the MIT taxi-sharing study. "This research shows what would happen if people have sharing as an option. And that choice is becoming increasingly popular, as the availability of real time information in our pockets allows us to make immediate, informed decisions based on our needs and resources," says Prof. Carlo Ratti. 

Fortune- CNN

Michael Casey of Fortune reports on the new MIT study that examines taxi sharing in New York City. The researchers found that more than 95 percent of taxi trips could be shared with only a minimal inconvenience to passengers. 

BetaBoston

BetaBoston reporter Nidhi Subbaraman examines new MIT research on the benefits of sharing a cab. The researchers found that implementing a taxi-sharing system “would translate to cuts in emissions and traffic congestion, as well as untold improvements to the sanity of commuters stuck in rush-hour traffic,” Subbaraman writes. 

New York Times

Kenneth Chang and Joshua Krisch report for The New York Times on the new MIT study showing that if New Yorkers shared taxis they could significantly reduce cumulative trip lengths, which would help alleviate traffic and air pollution in the city. 

The Economist

The Economist reports on how MIT researchers have developed an algorithm that predicts the perceived safety of different streets based off of visual cues. The researchers hope to use their research results to generate guidelines for how to make an urban area look safe and lively. 

Wired

Katie Collins writes for Wired that MIT researchers have developed a new algorithm that will allow delivery drones to monitor their own health. “Drones will be able to keep an eye on their ability to do the job by predicting fuel levels and checking on the condition of propellers, cameras and other sensors,” writes Collins. 

BetaBoston

BetaBoston reporter Nidhi Subbaraman writes that MIT researchers are developing new techniques to make future delivery drones more functional and efficient. “We have broken the large problem into lots of small problems,” says Ali-akbar Agha-mohammadi. 

CNET

CNET reporter Stephen Beachman highlights the new robotic glove that adds two extra fingers to the human hand. The fingers are supposed to act and react like a natural extension of your hand and allow the user to pick up much larger and heaver than a normal human hand could, Beachman reports. 

Wired

Kadhim Shubber reports on a new glove created by Professor Harry Asada with two extra fingers that responds intelligently to one’s movements. "You do not need to command the robot, but simply move your fingers naturally,” said Asada. “Then the robotic fingers react and assist your fingers."

NBC

“Researchers at MIT have created a robotic hand device that, rather than simply replacing one's grip, enhances its reach with two extra fingers,” reports NBC on a new device developed by Professor Harry Asada’s team.

BBC News

The BBC reports on a new technology from Professor Harry Asada’s team that provides a robotic extension to the human hand responsive to movement. The extension—essentially two extra fingers—can be used to grasp, leaving the hand free for other tasks. 

Boston Globe

Boston Globe reporter Kevin Hartnett writes about a new algorithm developed by a team of MIT researchers that can camouflage eyesores. The algorithm, “analyzes pictures of incongruous objects and creates custom camouflage that makes them fade into their surroundings,” Hartnett explains. 

Wired

“MIT’s big idea is to create printable camouflage coverings using algorithms,” writes Liz Stinson for Wired about new research from graduate student Andrew Owens that aims to hide eyesores. “These algorithms pull in environmental data via photographs and construct an image that best blends an object in with its surroundings.”

Newsweek

Newsweek reporter Tom Parrett writes about current advances, and the future of swarm robots, highlighting Professor Daniela Rus’ work with self-assembling robots.