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Hal Hodson of New Scientist reports on the new algorithm developed by MIT researchers that can turn visual images into sound. "We were able to recover intelligible speech from maybe 15 feet away, from a bag of chips behind soundproof glass," explains Abe Davis, a graduate student at MIT.
Michael Morisy writes for BetaBoston about an algorithm developed by MIT researchers that can recreate speech by analyzing material vibrations. “The sound re-creation technique typically required cameras shooting at thousands of frames per second,” writes Morisy.
Writing for The Boston Globe, Jack Newsham interviews Professor John Leonard about the many challenges facing self-driving cars in a city like Boston. “Robots should just be able to navigate the way we navigate,” Leonard explains. “That’s been a challenge in robotics for 40 years.”
In a piece for Fortune, Benjamin Snyder writes about how MIT researchers have developed a new system to help achieve the perfect lighting for photo shoots. Flying robots are programmed to produce rim lighting, which illuminates the edge of the subject in a photograph.
The Associated Press reports on a new soft robotic fish developed by MIT researchers. The video features footage of the fish, which the researchers developed in an effort to make more lifelike robots.
“They've created an app which recasts mediocre headshots in the styles of famous portrait photographers like Richard Avedon and Diane Arbus- and in the process reveals how subtle shifts in lighting can completely change the way we perceive a face,” writes Boston Globe reporter Kevin Hartnett.
R. Colin Johnson of EE Times reports that MIT researchers are, “aiming for a multicore architecture that can scale to any number of cores, with cache coherency. So far, they've prototyped a 36-core version.”
Wired reporter Liat Clark writes about how researchers from MIT, Harvard and the University of Pennsylvania have demonstrated a self-assembling lamp at the IEEE Conference on Robotics and Automation.
Writing for Wired, Olivia Solon describes a new algorithm that can identify human action in video. “The activity-recognising algorithm is faster than previous versions and is able to make good guesses at partially completed actions, meaning it can handle streaming video,” Solon writes.
“When it comes out of the 3D printer, the robot is just a sheet made of a polymer called polyvinyl chloride, or PVC. The sheet is sandwiched between two rigid polyester films. Slits cut into the films affect how the PVC sheet will fold when it is heated,” writes UPI reporter Brooks Hays of new work with self-assembling robots.
New Scientist writer Aviva Rutkin reports that MIT researchers have developed a new process in which flat cut-outs are able to self-assemble into robots when heated. "What we would like is to provide design tools that allow people who are not experts to create their own machines," explains Prof. Daniela Rus.
In a piece for Wired, Olivia Solon writes about how Professor Daniela Rus’ research group has developed, “a system of 2D patterns cut into plastic that can self-fold under heat into 3D shapes.”
MIT researchers have helped to produce an algorithm that applies professional photograph editing to self-portraits, writes Billy Steele for Engadget. The software uses existing works to make a match with the captured image, explains grad student YiChang Shih.
Forbes reporter Jasper Hamill describes a new technique developed by Prof. Daniela Rus that allows robots to self-assemble when heated. “The components can be produced simply by heating up the plastic, which is cleverly designed so it folds itself into the right form,” writes Hamill.
“Eventually she can see a world where people can use an algorithm to analyze an image, create blueprints and print out fully functional robots. This could be a big deal in manufacturing, health care and, yes, toys,” writes NBC News writer Keith Wagstaff of Professor Daniela Rus’ work with self-assembling robots.