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Writing for Fortune, Jamie Ducharme details how researchers from MIT and Harvard are one step closer to creating robots with superpowers, thanks to a new robotic artificial muscle they have developed. The new technology could be used, “in arenas ranging from medicine to architecture to space exploration,” Ducharme explains.
HuffPost reporter Thomas Tamblyn writes that MIT and Harvard researchers have created a range of origami-inspired robotic muscles. “These ultra-flexible materials could be applied to everything from deep-sea robotics to creating tiny yet incredibly strong tools for performing surgery,” Tamblyn explains.
Researchers from MIT and Harvard have developed a new origami-inspired artificial muscle that can lift up to a thousand times its own weight, reports Amina Khan for The Los Angeles Times. Khan explains that the robotic muscles, “offer a new way to give soft robots super-strength, which could be used everywhere from inside our bodies to outer space.”
Prof. Timothy Lu speaks with STAT reporter Eric Boodman about his work trying to harness bacteria to treat disease. Lu notes that his lab is also currently working on, “building these genetic circuits for therapeutic applications, but instead of targeting bacteria, we’ve been focused on using human cells.”
Wall Street Journal reporter James Hagerty memorializes the life and work of MIT alumnus Vanu Bose, a member of the MIT Corporation who founded a company aimed at bringing cellular service to, “underserved areas including Rwanda and dead zones in the mountains of Vermont.” Prof. John Guttag, one of Bose’s thesis advisers, notes that, “Vanu was an incredibly optimistic person.”
Boston.com reporter Erica Yee highlights several Boston-area residents who were named to Forbes’ “30 under 30” list, including MIT postdoctoral associate Yichen Shen, who was honored for his work with nanophotonic breakthroughs, and undergraduate Jenny Xu, who was recognized for her work creating popular mobile games.
The late Institute Prof. Emerita Mildred Dresselhaus is featured on MSNBC Live with Velshi & Ruhle’s “Monumental Americans” series, which highlights Americans they believe should be honored with a statue. “Known as ‘the Queen of Carbon Science,’ the electrical engineer worked at MIT for 57 years and was a pioneer for women in science leadership positions.”
Graduate student Anish Athalye speaks with the BBC about his work examining how image recognitions systems can be fooled. "More and more real-world systems are starting to incorporate neural networks, and it's a big concern that these systems may be possible to subvert or attack using adversarial examples,” Athalye explains.
New Scientist reporter Abigail Beale writes that MIT researchers have been able to trick an AI system into thinking an image of a turtle is a rifle. Beale writes that the results, “raise concerns about the accuracy of face recognition systems and the safety of driverless cars, for example.”
In an article published by The Wall Street Journal about the future of programmable materials, Kelly and Zach Weinersmith highlight Prof. Daniela Rus’ work developing “origami bots that can shape themselves into tools to perform medical procedures or deliver drugs inside the body.”
Guardian reporter Alex Hern writes that in a new paper MIT researchers demonstrated the concept of adversarial images, describing how they tricked an AI system into thinking an image of a turtle was an image of a gun. The researchers explained that their work “demonstrates that adversarial examples are a significantly larger problem in real world systems than previously thought.”
Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.
During an appearance on WGBH’s Greater Boston, Prof. Regina Barzilay speaks with Jim Braude about her research and the experience of winning a MacArthur grant. Barzilay explains that the techniques she and her colleagues are developing to apply machine learning to medicine, “can be applied to many other areas. In fact, we have started collaborating and expanding.”
Prof. Regina Barzilay, recipient of a 2017 MacArthur grant, speaks to Radio Boston’s Meghna Chakrabarti about her research. Barzilay explains that data is not currently used in the medical field “to select treatments, to personalize it, or to help the patients reduce their uncertainty about the outcomes. I really strongly felt it has to be changed.”
Prof. Regina Barzilay has been named a MacArthur grant recipient for her work in computational linguistics and with applying machine learning to the field of oncology, reports Ellen Gamerman for The Wall Street Journal. “I firmly believe there is a lot of really important information and patterns that are hidden in the data of cancer patients,” said Barzilay.