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Shankar Vedantam of NPR reports on Dr. Boris Katz’s new research examining how errors in written English can reveal clues about other languages. “By analyzing the patterns of mistakes that native speakers of two languages make in English, the computer can say, look, these two languages might actually be related to one another,” Vedantam explains.
The Boston Globe writes about Professor Sangeeta Bhatia's commitment to mentoring her students. “It's heartening to know that, tucked away in labs all over our region, solution-driven scientists like Sangeeta Bhatia are tinkering and building — and encouraging others to do the same.”
Loren Grush of Popular Science writes about a new type of antibiotic developed by MIT researchers that could help kill drug-resistant bacteria. “[T]he team developed their own gene-editing system, capable of turning off certain bacterial genes that spur antibiotic resistance,” Grush explains.
A team led by Professor Timothy Lu has developed a new class of antibiotic that can selectively kill bacteria based on their genes, reports Michael Eyre for BBC News. "This is an enabling toolkit for the basic scientists to now start probing these systems a little bit better,” says Lu.
Researchers at MIT have developed a waterproof glue based on the proteins that allow shellfish to cling to rocks, reports Brooks Hays for UPI. "We're trying to figure out if by adding other mussel foot proteins, we can increase the adhesive strength even more and improve the material's robustness," said Professor Timothy Lu.
Francie Diep writes for Popular Science about a new waterproof adhesive developed by Professor Timothy Lu’s team. “The glue, which works underwater, incorporates proteins that mussels normally use to adhere to rocks, jetties, and larger sea critters,” writes Diep.
CBS News reports that MIT engineers have identified several combinations of genes that make bacteria more vulnerable to antibiotics. This research could help in the fight against “superbugs,” drug-resistant bacteria that kill at least 23,000 people per year in the U.S.
Jordon Golson of Wired reports on a new traffic control system created by MIT researchers: “The ‘RoadRunner’ system, developed for Singapore by graduate student Jason Gao and his advisor Li-Shiuan Peh, issues a digital ‘token’ to each car entering a congestion-prone area.”
“Inspired by octopus tentacles, MIT’s Computer Science and Artificial Intelligence Lab (CSAIL)'s latest robot is as squishy as can be,” writes Rachel Feltman of The Washington Post. “Like other soft robots, this tentacle has potential in search and rescue missions.”
Thomas Tamblyn of The Huffington Post reports on a soft, tentacle-shaped robot developed by doctoral candidate Andrew Marchese and PhD student Robert Katzschmann: “The arm is made using purely silicone which is then inflated and deflated forcing the arm to move in the desired direction.”
Francie Diep writes for Popular Science about a soft robot designed by MIT’s Distributed Systems Lab, that is able to navigate a maze unaided: “Researchers that build soft robots like this one hope that in the future, soft machines will be safer for humans to work with than hard metal ones.”
Scientists at the Singapore-MIT Alliance for Research and Technology have discovered a new way to test for malaria using magnets, reports Charlotte Seager of The Guardian. The new method will allow for individual diagnostic tests to be performed for less than 10 cents.
Boston Globe reporter Chris Reify writes that Professor Sangeeta Bhatia has been awarded the 2014 $500,000 Lemelson-MIT Prize. “Dr. Bhatia is a wonderful example of a woman who has used her brilliance, skill and creativity to radically improve the detection and treatment of serious global health issues,” says Dorothy Lemelson, Lemelson Foundation chair.
NBC News reports that MIT Prof. Sangeeta Bhatia has been awarded the Lemelson-MIT prize for her work designing miniaturized biomedical tools. "As innovations emerge, we're constantly asking whether they can be repurposed for one of the two diseases we concentrate on: liver disease and cancer,” says Bhatia.
Writing for CNBC, Hazma Ali reports on new MIT research showing that humans prefer to receive orders from robots rather than humans. "Our findings showed that our subjects strongly preferred when the robot scheduled the work of the team,” explains graduate student Matthew Gombolay.