WBUR’s Benjamin Swasey reports on Professor Chris Warshaw’s new study examining how reflective governments are of their constituents’ views. “When you put all this stuff together, it turns out that cities are quite responsive to how liberal their publics are,” explains Warshaw.
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.
Krissy Clark of NPR reports on Professor Amy Glasmeier’s work developing the MIT Living Wage Calculator. Clark reports that through examining the cost of living, Glasmeier found that areas with higher poverty rates tended to have higher amounts of minimum wage jobs where the minimum wage, “absolutely was not paying people enough to live on.”
Writing for The Washington Post, Hunter Schwartz reports on new findings concerning municipal governments from Professor Chris Warshaw. Schwartz writes that the study found, “Even cities with governments designed to be less partisan, with institutions like nonpartisan elections and professional managers instead of elected mayors, are in line with residents’ political beliefs.”
In a piece for USA Today, Mark Olalde reports on a new study of municipal politics co-written by MIT Professor Chris Warshaw. Through the study, which examined the political preferences of U.S. residents in specific cities, Warshaw found that Mesa, Arizona was the most conservative city and San Francisco, California the most liberal.
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.
Lisa Kiplinger writes for USA Today about research from Dr. Joseph Coughlin, director of the the MIT AgeLab, that indicates that 85 percent of Millennials are open to having conversations about finances with their grandparents, but only 8 percent of grandparents are likely to initiate the conversation.
WBUR’s Bruce Gellerman reports on MIT.nano, the nanotechnology research facility that when completed will provide cutting-edge laboratory space for thousands of researchers. “The world is built on nanoscale and the 21st century will be defined by it,” says Prof. Vladimir Bulovic.
Cynthia Graber of Scientific American reports on the new MIT technique to use solar energy to generate steam. Graber reports that the new system reaches, “85 percent efficiency in converting the solar energy into steam."
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.