Computer Science and Artificial Intelligence Laboratory (CSAIL)

Alyssa Newcomb of ABC News reports on how MIT researchers have developed a new method that can uncover intelligible audio by videotaping everyday objects and translating the sound vibrations back into intelligible sound. 

NPR’s Melissa Block examines the new MIT algorithm that can translate visual information into sound. Abe Davis explains that by analyzing sound waves traveling through an object, “you can start to filter out some of that noise and you can actually recover the sound that produced that motion.” 

Time reporter Nolan Feeney writes about how researchers from MIT have developed a new technique to extract intelligible audio of speech by “videotaping and analyzing the tiny vibrations of objects.”

“Researchers have developed an algorithm that can use visual signals from videos to reconstruct sound and have used it to recover intelligible speech from a video,” writes Katie Collins for Wired about an algorithm developed by a team of MIT researchers that can derive speech from material vibrations.

Rachel Feltman of The Washington Post examines the new MIT algorithm that can reconstruct sound by examining the visual vibrations of sound waves. “This is a new dimension to how you can image objects,” explains graduate student Abe Davis. 

In a piece for Popular Science, Douglas Main writes on the new technique developed by MIT researchers that can reconstruct speech from visual information. The researchers showed that, “an impressive amount of information about the audio (although not its content) could also be recorded with a regular DSLR that films at 60 frames per second.”

Writing for Slate, Elliot Hannon reports on the new technology developed by MIT researchers that allows audio to be extracted from visual information by processing the vibrations of sound waves as they move through objects.

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.