WGBH reporter Mike Deehan writes that MIT will play a key role in a new public-private partnership aimed at expanding the use of photonics in manufacturing. Prof. Krystyn Van Vliet explains that MIT will coordinate the "education and workforce development program for the entire nation in this area.”
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.”
Alexandra Ossola writes for Popular Science about a computer program created by MIT researchers that can aid in early detection of dementia by analyzing a patient’s drawings. The program “may enable doctors to diagnose patients much more quickly, and to intervene earlier to stave off the onset of cognitive degeneration.”
Jordan Lebeau writes for Boston.com about a team of drink-serving robots created by MIT researchers: “The team consists of one large double-armed bot, the bartender, and two smaller ‘turtle bots,’ the servers.”
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 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.”
Kelsey Atherton of Popular Science reports on a system created by MIT researchers that allows robots to work in tandem to serve drinks. “This has uses beyond bartending,” writes Atherton. “MIT sees it as a potential system for hospitals or rescue work.”
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.