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.”
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.”
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.”
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.”
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.
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.
Fortune reporter Jonathan Vanian writes that researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have developed a new method to restore old, malfunctioning code. The system, called Helium, “discovers the most crucial lines of code that the original programmers developed to make it function, and then builds a revised version of the program.”
MarketWatch reporter Sally French writes that researchers from MIT CSAIL have developed an algorithm that can be used to predict how memorable a person’s is. “The algorithm was created from a database of more than 2,000 images that were awarded a “memorability score” based on human volunteers’ ability to remember the pictures,” French writes.
In this video, Monika Auger of The Wall Street Journal describes how MIT engineers have developed a robotic cheetah that can jump over obstacles autonomously. Auger explains that the robot’s vision and path planning systems give it "complete autonomous control over its movements.”