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.
Steven Rosenbaum highlights PhD student Abe Davis’ TED talk in a piece for Forbes. Rosenbaum writes that Davis “has co-created the world’s most improbable audio instrument.”
Rachel Feltman writes for The Washington Post about how MIT researchers have developed new technology that can amplify microscopic movements invisible to the human eye. “MIT researchers recently published a study in which they extracted intelligible audio by analyzing the movements of a nearby bag of chips,” Feltman writes.
A team of MIT researchers has developed an algorithm that will help NASA crews clean up debris in space, reports Nick Stockton for Wired. The research will allow crews to clear pieces of satellites spinning so wildly that they would typically be dangerous to collect.
Heather Kelly of CNN reports on how MIT researchers have developed a new technique to recreate audio from silent video. "We showed that we can determine pretty reliably the gender of a speaker from low-quality sound we managed to recover from a tissue box," says Dr. Michael Rubinstein.
Colleen Shalby reports for the PBS NewHour on the “visual microphone” developed by MIT researchers that can detect and reconstruct audio by analyzing the sound waves traveling through objects.
Bloomberg Businessweek reporter Drake Bennett writes about how MIT researchers have developed a technique for extracting audio by analyzing the sound vibrations traveling through objects. Bennett reports that the researchers found that sound waves could be detected even when using cell phone camera sensors.
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.