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Boston Herald

Researchers at MIT and Boston Children’s Hospital are developing a new technique to convert images from MRI scans into physical models of the human heart, writes Lindsay Kalter for The Boston Herald. “This can definitely impact clinical practice in terms of helping surgeons plan more efficiently,” explains graduate student Danielle Pace. 

Fortune- CNN

“Researchers from MIT and Boston Children’s Hospital say they’ve come up with a better, faster way to build heart models,” writes Barb Darrow for Fortune. The team has devised a method for 3-D printing model hearts from MRI scans that takes three to four hours compared to the 10 hours typically required using current methods.

BetaBoston

Nidhi Subbaraman of BetaBoston reports on how MIT researchers have developed a fleet of self-driving golf carts. “The group road-tested a fleet of self-driving golf carts at a park in Singapore over six days,” writes Subbaraman.

Popular Science

Kelsey Atherton reports for Popular Science that MIT researcher have developed and tested a self-driving golf cart in a public garden in Singapore. Atherton writes that one potential use for the self-driving golf carts is a shared vehicle system where the carts would “drive people to their destination, and then either return or seek new riders.”

NBC News

MIT researchers have developed a new algorithm that can prevent overexposed photos, reports Devin Coldewey for NBC News. The algorithm reconstructs the “parts of the image that would have been too bright, recovering a blue sky or reflection on a shiny object.”

Los Angeles Times

Los Angeles Times reporter Jenn Harris writes that MIT researchers have developed a system that allows teams of robots to deliver items. Harris explains that the researchers hope their technique could be used to allow robots to aid in situations like “getting supplies and medicine across a battlefield in a war-torn country.”

BetaBoston

MIT researchers have developed a technique that can eliminate the washed-out spots found in overexposed images, reports Curt Woodward for BetaBoston. The technique could not only be used in photography, but could also be used for other applications like helping a “self-driving car stay on course despite quick light changes, such as entering a tunnel.”

HuffPost

MIT researchers have developed a program that allows a team of robots to work together to serve drinks, reports Lorenzo Ligato for the Huffington Post. The researchers, “programmed the robots with complex planning algorithms, which allowed the machines to engage in higher-level reasoning about their location, status and behavior -- similarly to they way humans perform tasks.”

UPI

Brook Hays of UPI writes that researchers from MIT have developed a new program that allows teams of robots to work together to pour and deliver drinks. Hays explains that the robots are “programmed to anticipate what drinks are needed where, taking orders and delivering drinks with the greatest possible level of efficiency.”

Boston Globe

Boston Globe reporter Kevin Hartnett writes that MIT researchers have shown it is impossible to create a faster version of the “edit distance” algorithm, which is used to compare the genomes of different species. Hartnett writes that the finding “has been greeted with something like relief among computer scientists.”

BetaBoston

MIT researchers have developed a new algorithm that allows robots to work together to efficiently serve drinks, Nidhi Subbaraman writes for BetaBoston. Subbaraman explains that the technique provides a “smarter approach to collaboration, preparing for possible missteps like dropping a bottle, or picking up the wrong one.” 

HuffPost

“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.

BBC News

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.

The Guardian

“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.”

Popular Science

Dave Gershgorn writes for Popular Science about an algorithm created by MIT and Google researchers that can remove obstructions from photos: “[T]he algorithm detects what obstruction is in the foreground,” writes Gershgorn, “then replaces the space that would be missing, when the foreground and backgrounds layers are separated, with pixels from the other photos.”