In this video, Mashable spotlights AlterEgo, a wearable device that allows for silent communication between human and machine. The video notes that graduate student Arnav Kapur’s goal in developing the device was to, “create something to let people communicate silently and without being obtrusive to each other.”
STAT reporters Gideon Gil and Matthew Orr describe a “pioneering” surgical technique from researchers at MIT and Brigham and Women’s Hospital that allows prosthetics to operate like human limbs. Prof. Hugh Herr, “himself a rock climber who lost both his legs to frostbite as a teen, describes his goal as nothing short of eliminating disability."
During this episode of NOVA Wonders, Professors Kristala Jones Prather and Kevin Esvelt discuss the future of genetic engineering. Speaking about the evolution of the biotech industry, Prather explains that, "the key observation that really fueled the entire biotech industry was recognizing that D.N.A. is really just a chemical, and the structure is what matters.”
In an article for Inside Higher Ed, Ray Schroeder writes about a new tool developed by Media Lab researchers that allows humans to communicate with computers. After summarizing the technology and exploring its potential implications for educators, Schroeder asks: “Are you prepared to leverage this technology in teaching and learning?”
Quartz reporter Kwasi Gyamfi Asiedu writes that Sierra Leone has appointed alumnus David Sengeh to serve as the country’s first Chief Innovation Officer. In this new position, reports Asiedu, Sengeh will be focused on jumpstarting Sierra Leone’s “economy by elevating the role of innovation in its day to day dealings.”
Professors Edward Boyden and Feng Zhang have been named to the 2018 class of Howard Hughes Medical Institute investigators, reports Jonathan Saltzman for The Boston Globe. “We selected these scientists because they know how to ask hard and interesting questions with skill and intellectual courage,” says David Clapham, vice president and chief scientific officer of the institute.
Katie Kindelan of Good Morning America reports on the “Make the Breast Pump Not Suck” hackathon at the Media Lab, which examined physical, socioeconomic and cultural factors affecting new mothers. “We really thought, ‘How do we attack this problem from all angles, not just technology and design but also policy and access,’” explains researcher Alexis Hope.
Prof. Tod Machover details his experience creating “Philadelphia Voices,” which is “the latest in a series of Machover symphonies inspired by cities,” writes Michael Cooper for The New York Times. “To help organize his library of Philadelphia sounds he used software developed at M.I.T. called Constellation, which can analyze hundreds of sound files by volume, frequency and shape, then visually display them.”
A new headset developed by graduate student Arnav Kapur reads the small muscle movements in the face that occur when the wearer thinks about speaking, and then uses “artificial intelligence algorithms to decipher their meaning,” writes Chelsea Whyte for New Scientist. Known as AlterEgo, the device “is directly linked to a program that can query Google and then speak the answers.”
Prof. Tod Machover debuts his latest symphony, “Philadelphia Voices,” this week, and the AP’s Natalie Pompilio writes that it “both captures and celebrates the distinctive sounds and sizzle of Philadelphia.” The piece interweaves live music with recordings that include a “cheesesteak interlude,” birds at the Philadelphia Zoo, and children visiting the Museum of the American Revolution.
Danny Crichton of TechCrunch highlights Media Lab researchers Kent Larson and John Clippinger, who are sorting socio-economic factors into datasets in order to create a model that can guide a community towards success. “Wouldn’t it be great to create an alternative where instead of optimizing for financial benefits, we could optimize for social benefits, and cultural benefits, and environmental benefits,” said Larson.
Writing for Gizmodo, Sidney Fussell explains that a new Media Lab study finds facial-recognition software is most accurate when identifying men with lighter skin and least accurate for women with darker skin. The software analyzed by graduate student Joy Buolamwini “misidentified the gender of dark-skinned females 35 percent of the time,” explains Fussell.
A study co-authored by MIT graduate student Joy Buolamwini finds that facial-recognition software is less accurate when identifying darker skin tones, especially those of women, writes Josh Horwitz of Quartz. According to the study, these errors could cause AI services to “treat individuals differently based on factors such as skin color or gender,” explains Horwitz.
Prof. Kevin Esvelt speaks with Scientific American reporter Elie Dolgin about his work applying genetic engineering to eradicate diseases like malaria. Esvelt explains that one day researchers could potentially, “engineer an organism that would confer disease resistance to an entire species. Ideally, we’d want to start small and local, see how well it works, and only then scale up if it’s warranted.”
Boston Herald reporter Lindsay Kalter writes that a team of MIT researchers has developed a new technique that can deliver medication to specific regions of the brain with extreme precision. “The whole idea here is that instead of treating the entire brain, you can treat small portions of the brain,” explains Prof. Michael Cima.