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Radio Boston (WBUR)

Graduate student Lilly Chin, winner of the 2017 Jeopardy! College Championship, reminisces with Tiziana Dearing of Radio Boston about "Jeopardy!" game show host Alex Trebek. “Alex really enjoyed being on the job, but also enjoyed sort of being an uncle to the contestants, as well as America at large,” recalls Chin. 

Fast Company

Fast Company reporter Yasmin Gagne spotlights MIT startup Spyce, which has developed a robotic restaurant kitchen. “With a global pandemic ongoing, a meal cooked with a robotic system might be just enough of a differentiator to help Spyce thrive in an era that has decimated the restaurant industry,” writes Gagne.

Financial Times

Financial Times reporter John Thornhill writes that Prof. Tim Berners-Lee’s startup Inrupt, which is aimed at developing a new data architecture for the web, has launched its first enterprise-ready servers. Thornhill explains that Inrupt’s technology is aimed at empowering “users to create their own Pods (personal online data stores). This enables them to control their own data and grant access to third-party apps at their discretion.”

WBUR

A new study by MIT researchers finds that super-spreading events are larger drivers of the Covid-19 pandemic than originally thought, reports Carey Goldberg for WBUR. “We found in our study that super-spreading events can indeed be a major driver of the current pandemic,” says postdoc Felix Wong. “Most people generate zero or one cases, but it's the people generating hundreds of cases that we really should be worried about.”

Associated Press

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.” 

WBUR

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."

BBC News

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

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.”

TechCrunch

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.”

Gizmodo

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.

The Wall Street Journal

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

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.

CBS Boston

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.”

Fox News

MIT researchers have developed a heated, reusable mask that could help filter out viruses such as Covid-19, reports Kayla Rivas for Fox News. “The contraption is said to slow particles down and inactivate viruses in mere seconds by the mesh and temperatures reaching 90°C, or 194°F,” writes Rivas. 

Next Avenue

In an article for Next Avenue that highlights scientists over age 65 who are making “enormous contributions to their fields of expertise,” Diane Estabrook features Prof. Sallie “Penny” Chisholm and her research investigating Prochlorococcus. “The earth operates on solar energy, so understanding Prochlorococcus’ design could help us design artificial photosynthetic machines,” says Chisholm.