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Electrical engineering and computer science (EECS)

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CBS This Morning

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.

Scientific American

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

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.

Guardian

MIT researchers developed a super-thin, bendy material that converts WiFi signals into electricity, reports Ian Sample for The Guardian. “In the future, everything is going to be covered with electronic systems and sensors. The question is going to be how do we power them,” says Prof. Tomás Palacios. “This is the missing building block that we need.”

Time

TIME reporter Jamie Ducharme highlights how Prof. Dina Katabi has developed a device that uses wireless signals to collect information about how well a person is sleeping. “If we can monitor health continuously but passively in a patient’s natural environment, that can help dramatically,” explains Katabi.

New York Times

New York Times reporter Steve Lohr writes about the MIT AI Policy Conference, which examined how society, industry and governments should manage the policy questions surrounding the evolution of AI technologies. “If you want people to trust this stuff, government has to play a role,” says CSAIL principal research scientist Daniel Weitzner.

Xinhuanet

MIT researchers have found that a small gelatinous structure, called the tectorial membrane, gives the human ear its extraordinary ability to detect faint sounds, reports the Xinhua news agency. The findings “could help devise ways to treat hearing impairment via medical interventions that alter the pores or the properties of the fluid in the membrane.”

Guardian

MIT researchers have engineered wasp venom to kill bacteria, reports Chukwuma Muanya for The Guardian. The researchers found that the altered peptides wiped out the antibiotic-resistant bacteria Pseudomonas aeruginosa within four days.

Boston Globe

Boston Globe reporter Jessie Scanlon spotlights Prof. Regina Barzilay’s work developing machine learning systems that can identify patients at risk of developing breast cancer. Barzilay is creating “software that aims to teach a computer to analyze mammogram images more effectively than the human eye can and to catch signs of cancer in its earliest phases.”

Forbes

Forbes reporter Fiona McMillan writes that MIT researchers have engineered an anti-bacterial peptide found in wasp venom in an effort to create a new antibiotic. McMillan writes that the researchers, “gained new insight into which structural attributes work best, either alone or in combination. In this way, they were able to tweak the peptide’s structure to obtain optimal function.”

Xinhuanet

MIT researchers have repurposed the toxic venom found in wasps to create a new drug that could potentially be used to kill bacteria, reports the Xinhua news agency. “The venom-derived peptide is believed to kill microbes by disrupting bacterial cell membranes,” Xinhua explains.

Boston Herald

Boston Herald reporter Jordan Graham writes that MIT researchers have used the venom from a South American wasp to engineer a new type of antibiotic. “The idea here is to take that very well-crafted toxin and turn it into something that can be useful for humans and our society,” explains César de la Fuente Nunez, a postdoc at MIT.

BBC News

Prof. Aleksander Madry and graduate student Anish Athalye speak with BBC News reporter Linda Geddes about how AI systems can be tricked into seeing or hearing things that aren’t actually there. “People are looking at it as a potential security issue as these systems are increasingly being deployed in the real world,” Athalye explains.

TechCrunch

CSAIL researchers have developed a new technique to recreate paintings from a single photograph, reports John Biggs for TechCrunch. “The project uses machine learning to recreate the exact colors of each painting and then prints it using a high-end 3D printer that can output thousands of colors using half-toning,” Biggs explains.

Forbes

Forbes contributed Jennifer Kite-Powell writes about a system, called RePaint, developed by MIT researchers that uses AI and 3-D printing to replicate paintings. "We can picture RePaint being applied to restoration practice and education in museums so that greater numbers of people could be exposed to famous pieces of art beyond just the specific museums that house them," explains CSAIL mechanical engineer Mike Foshey.