Electrical engineering and computer science (EECS)

TechCrunch reporter Brian Heater writes that MIT researchers have developed a robot that can recycle materials using sensors that allow it to differentiate between objects. Heater explains that “the system utilizes a Teflon gripper with built in sensors that are capable of determining an object’s makeup based on size and stiffness.”

Prof. Regina Barzilay speaks with NPR reporter Richard Harris about her work developing AI systems aimed at improving identification of breast cancer in mammograms, inspired by her experience with the disease. “At every point of my treatment, there would be some point of uncertainty, and I would say, 'Gosh, I wish we had the technology to solve it,’” says Barzilay.

Forbes contributor Charles Towers-Clark writes that CSAIL researchers have developed a new machine learning system that could be used to help develop better estimates about internet data. “In tests, the system was over 57% more accurate in estimating internet traffic and more than 71% for trending social media topics,” Towers-Clark explains.

Fast Company reporter Katherine Schwab spotlights Duality, an MIT startup that is using homomorphic encryption to analyze encrypted data without decrypting it. Schwab explains that the “company’s technology could provide an actual solution to the data privacy problem by allowing companies to keep their data fully encrypted and still find patterns in it.”

Inside Higher Ed reporter Lindsay McKenzie writes that MIT’s Ad Hoc Task Force on Open Access has released a draft set of recommendations aimed at increasing the open sharing of MIT publications, data, software, and educational materials.

The Financial Times has named Prof. Tim Berners-Lee its "Boldness in Business" Person of the Year for his work aimed at providing people with more control over how their personal data is used online, reports John Thornhill. “We know how to fire rockets into the sky. We should be able to build constructive social networks,” says Lee.

Fast Company reporter Mark Wilson writes that CSAIL researchers have developed a new soft robotic gripper that is modeled after a Venus flytrap. “Dubbed the Magic Ball, it’s a rubber and plastic structure that can contract around an object like an origami flower,” Wilson explains.

CSAIL researchers have developed a new robotic gripper that contains an origami skeleton, enabling the device to open and close like a flower and grasp a variety of delicate and heavy objects, reports James Vincent for The Verge “By combining this foldable skeleton with the soft exterior, we get the best of both worlds,” explains Prof. Daniela Rus, director of CSAIL.

TechCrunch reporter Brian Heater writes that researchers at CSAIL and Harvard have developed a soft robotic gripper that can both handle delicate objects and lift items up to 100 times its own weight. “The gripper itself is made of an origami-inspired skeletal structure, covered in either fabric or a deflated balloon,” explains Heater.

Profs. Regina Barzilay and Dina Katabi discuss how AI could transform the field of medicine in a special episode of CNBC’s Squawk Box, broadcast live from MIT’s celebration for the new MIT Schwarzman College of Computing. Barzilay explains that her goal is “to teach machines to do stuff that humans cannot do, for instance predict who is going to get cancer within two years.”

New York Times reporter Janet Morrissey spotlights Prof. Regina Barzilay and Prof. Dina Katabi’s work developing new AI systems aimed at improving health care. “It’s absolutely the future; it’s even the present,” says Barzilay. “The question is how fast do we adopt it?”

Prof. Tim Berners-Lee speaks with Wired reporter K.G. Orphanides about his startup Inrupt, which is aimed at transforming how we share personal data on the web. Orphanides explains that Berners-Lee’s idea is that, “instead of a company storing all your personal data on their servers, you would keep it on your own personal data ‘pod.’”

CBS This Morning correspondent Nikki Battiste visits MIT to learn more about a device developed by MIT researchers that uses wireless signals to detect food contamination. “We hope to be able to build a portable device that a person can take with them when they're trying to buy something from a supermarket or from a farmer's market,” explains Prof. Fadel Adib.

Reporting for Scientific American’s “60-Second Science” podcast, Christopher Intagliata explores how MIT developed a device, called a rectenna, that can capture energy from Wi-Fi signals and convert them into electricity. The scientists “envision a smart city where buildings, bridges and highways are studded with tiny sensors to monitor their structural health, each sensor with its own rectenna,” Intagliata explains.

Scientific American reporter Jeff Hecht writes that MIT researchers developed a new flexible material that can harvest energy from wireless signals. “The future of electronics is bringing intelligence to every single object from our clothes to our desks and to our infrastructure,” explains Prof. Tomás Palacios.