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.”
“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.
MIT students collaborated with residents of the Boston Home, a facility for adults with neurological diseases, to create InstaAid, an app that acts as a call button for nurses on the campus, writes Virgie Hoban for The Boston Globe. “The app preserves the independence of people contending with debilitating diseases," Hoban explains.
Charlotte Lytton writes for The Daily Beast about SenseGlass, a mirror created by graduate student Javier Hernandez that uses Google Glass technology to register physiological and emotional changes in the viewer. “I believe mirrors are a great platform for health monitoring as we use them [everyday],” says Hernandez.
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.”
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.”
“Researchers at MIT and Google have created an algorithm that uses multiple images taken from different angles to separate foreground obstacles from the subject that's in the background,” writes Lucy Perkins for NPR. The algorithm can be used to remove unwanted reflections from photos.
“Researchers at the Camera Culture Group, headed by Ramesh Raskar at the MIT Media Lab, have designed the eyeSelfie, an inexpensive hand-held device for taking a photograph of the retina,” writes Vijee Venkatraman for BetaBoston. Retinal monitoring has been shown to help identify a variety of diseases and risk factors.
Professor Dina Katabi was among the attendees showcasing startup ideas at the White House’s Demo Day, writes Jessica Geller for BetaBoston. “Demo Day promotes diversity,” said Katabi. “Women and people of different backgrounds are something that I think would be great to add to the startup community.”
Pheobe Gavin reports for Slate on self-assembling origami robots developed by Professor Daniela Rus’ team that could one day be refined for use in surgery or other medical applications: “The origami robot can walk, swim, push objects, climb inclines, and carry objects twice its weight.”
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.
Popular Science reporter Levi Sharpe writes that MIT researchers have developed an object recognition system that can accurately identify and distinguish items. “This system could help future robots interact with objects more efficiently while they navigate our complex world,” Sharpe explains.
Lily Rothman writes for TIME about how during computer scientist Margaret Hamilton’s time at MIT, she led the development of critical flight software that helped make the Apollo 11 moon landing possible. Hamilton recalls that she was “more happy about it [the on-board flight software] working than about the fact that we landed.”
New York Times reporter John Markoff writes about Alias, a new system aimed at augmenting human pilots on flights. The system is being developed by Auroa Flight Sciences, which grew out of an MIT project, and with the assistance of researchers from MIT and Duke University.