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BBC News

MIT researchers have developed a new ingestible pill that expands once it reaches the stomach and could be used to monitor a patient’s health, reports the BBC News. “The dream is to have a smart pill, that once swallowed stays in the stomach and monitors the patient's health for a long time, such as a month,” explains Prof. Xuanhe Zhao.

Quartz

Quartz reporter Jenny Anderson highlights Prof. Mitchel Resnick’s ideas for how to apply the kindergarten approach to learning to our entire educational system, in an effort to inspire lifelong learning. Anderson explains that Mitchel believes, “Kids should actively work on projects, which intersect with something they are passionate about, while working with peers in a playful environment.”

WSJ at Large

President Reif speaks with Gerry Baker of WSJ at Large about the impact of AI on the future of education and work. “Part of the goal of the [MIT Schwarzman] college is, as we educate people to use these [AI] tools, to educate them in a way that empowers human beings, not replaces human beings,” says Reif. 

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.

STAT

STAT reporter Casey Ross writes about how MIT researchers have developed a new ingestible Prof. Timothy Lu explains that he hopes that the sensor “opens up a really new window into how the gut and the rest of the body are connected, and hopefully provide new diagnostic strategies as well.”

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.”

Forbes

Prof. Polina Anikeeva speaks with Forbes contributor Poornima Peiris about her work developing materials that could be used to help explore and better understand the brain and nervous system. “I am not interested in just improving things, I want to work on innovative ideas,” says Anikeeva.

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.

Associated Press

Associated Press reporter Tali Arbel writes that MIT researchers have found that Amazon’s facial detection technology often misidentifies women and women with darker skin. Arbel writes that the study, “warns of the potential of abuse and threats to privacy and civil liberties from facial-detection technology.”

The Washington Post

A new study by Media Lab researchers finds that Amazon’s Rekognition facial recognition system performed more accurately when identifying lighter-skinned faces, reports Drew Harrell for The Washington Post. The system “performed flawlessly in predicting the gender of lighter-skinned men,” writes Harrell, “but misidentified the gender of darker-skinned women in roughly 30 percent of their tests.”

The Verge

Verge reporter James Vincent writes that Media Lab researchers have found that the facial recognition system Rekognition performed worse at identifying an individual’s gender if they were female or dark-skinned. In experiments, the researchers found that the system “mistook women for men 19 percent of the time and mistook darker-skinned women for men 31 percent of the time,” Vincent explains.

Forbes

Writing for Forbes, Jeff Kart highlights how MIT researchers have developed a new technique to process samples of bacteria and gauge whether the bacteria can produce electricity. “The vision is to harness the most-powerful bacteria for tasks like running fuel cells or purifying sewage water,” Kart explains.

New York Times

MIT researchers have found that the Rekognition facial recognition system has more difficulty identifying the gender of female and darker-skinned faces than similar services, reports Natasha Singer for The New York Times. Graduate student Joy Buolamwini said “the results of her studies raised fundamental questions for society about whether facial technology should not be used in certain situations,” writes Singer.

Axios

MIT researchers developed a new technique to make a more effective and precise CRISPR gene editing system, reports Eileen Drage O’Reilly for Axios. The system uses the new enzyme Cas12b, which has a “small size and precise targeting [that] will enable it to be used for in vivo applications in primary human cells,” O’Reilly explains.