In the Media

CNBC reporter Taylor Locke spotlights MIT startup Segment and speaks with the company’s founders about the lessons they learned from launching their own company. 

AP reporter Mark Pratt writes that Gov. Charlie Baker has nominated Dalila Argaez Wendlandt SM ’93 to fill an open seat on the state’s highest court. Pratt writes that Baker noted, “Wendlandt’s background in science and the law gives her a unique perspective.” 

Massachusetts Governor Charlie Baker has nominated Dalila Argaez Wendlandt SM ’93 to the Supreme Judicial Court, reports Katie Lannan for WBUR. "Engineering requires you to look at the data and follow it where it goes, and to roll up your sleeves when there's a problem that looks like it's unsolvable," says Wendlandt. "For me the law is very similar especially when you do high-end legal work. Often, the answer is not clear, but if you're confident in your skills, you roll up your sleeves, you bring out the big guns and you just do your job."

Financial Times reporter John Plender spotlights Prof. Thomas Levenson’s new book, “Money for Nothing.” Plender writes that, “Levenson provides a vivid account of the development of share trading in the coffee shops of Exchange Alley in the City, with fascinating asides such as Newton’s extraordinarily modern management techniques when running the Royal Mint.” 

MIT researchers have developed a new battery-free, underwater navigation system, reports Darrell Etherington for TechCrunch. “Ultimately, the system and future versions that are based on the same technology could enable future robotic submarine explorers to better map the ocean floor,” writes Etherington, “and perform all kinds of automated monitoring and sub-sea navigation.”

A new algorithm developed by MIT researchers could be used to help detect people with Covid-19 by listening to the sound of their coughs, reports Zoe Kleinman for BBC News. “In tests, it achieved a 98.5% success rate among people who had received an official positive coronavirus test result, rising to 100% in those who had no other symptoms,” writes Kleinman.

Mashable reporter Rachel Kraus writes that a new system developed by MIT researchers could be used to help identify patients with Covid-19. Kraus writes that the algorithm can “differentiate the forced coughs of asymptomatic people who have Covid from those of healthy people.”

Quartz reporter Nicolás Rivero highlights a study co-authored by Prof. David Rand that examines the effectiveness of labeling fake news on social media platforms. “I think most people working in this area agree that if you put a warning label on something, that will make people believe and share it less,” says Rand. “But most stuff doesn’t get labeled, so that’s a major practical limitation of this approach.”

Prof. Charles Stewart III speaks with Guardian reporter Sam Levine about what might happen after the polls close on election night. “In most states, the pace of counting and reporting is going to be slowed by a few hours. In some states, they’re going to be feeding more ballots into scanners after the polls close, and that’s going to take some time,” says Stewart. He adds that he believes we’re going to “know more than you think on election night.”

Writing for The Conversation, graduate student Craig Robert Martin delves into his research exploring how the Himalayas were created. “By decoding the magnetic records preserved inside them, we hoped to reconstruct the geography of ancient landmasses – and revise the story of the creation of the Himalayas,” writes Martin.

A new took developed by MIT researchers uses neural networks to help identify Covid-19, reports Alyse Stanley for Gizmodo. The model “can detect the subtle changes in a person’s cough that indicate whether they’re infected, even if they don’t have any other symptoms,” Stanley explains.

Writing for The Wall Street Journal, Prof. Yossi Sheffi examines the impact of the presidential election on U.S. – China trade relations. Sheffi notes that “business leaders should keep in mind that the trans-Pacific trade war hasn’t curtailed export shipments to the degree many feared.”

TechCrunch reporter Devin Coldewey writes that MIT researchers have built a new AI model that can help detect Covid-19 by listening to the sound of a person’s cough. “The tool is detecting features that allow it to discriminate the subjects that have COVID from the ones that don’t,” explains Brian Subirana, a research scientist in MIT’s Auto-ID Laboratory.

MIT researchers have developed a new AI model that could help identify people with asymptomatic Covid-19 based on the sound of their cough, reports CBS Boston. The researchers hope that in the future the model could be used to help create an app that serves as a “noninvasive prescreening tool to figure out who is likely to have the coronavirus.”

Prof. Charles Stewart III speaks with David Brancaccio of Marketplace about the history of voting technology. “Voting would be very different in the United States without the use of computing technologies,” says Stewart, “much like all of public policy, and actually all of our commercial lives, would be very different without the use of information technology to create the networks to do all of the transactions and allow us to do almost everything we do hundreds of times every day.”