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.”
Fox News reporter Kayla Rivas features Prof. Richard Larson’s work developing a new algorithm that could be used to help more accurately pinpoint sources of Covid-19 infections in sewer systems. The algorithm could be used to help “toggle between normal testing to an emergency schedule to locate asymptomatic cases fast before they infect others.”
Boston Globe reporter Corrie Pikul spotlights Prof. Li-Huei Tsai’s work finding that exposure to a specific pattern of rhythmic lights and sound bursts could potentially serve as a non-invasive treatment for Alzheimer’s. “These are really surprising findings,” says Tsai. “We are seeing multiple different cellular responses that are consistent with increased brain health.”
Forbes contributor Monica Haider writes about Droplette, a startup founded by MIT alumnae Madhavi Gavini and Rathi Srinivas. Droplette has developed an “innovative device [that] delivers over the counter skincare actives such as vitamin C, retinol, collagen and peptides by penetrating the skin with a fast-moving mist.”
TechCrunch reporter Danny Crichton spotlights r2C, a startup founded by three MIT alums that is aimed at analyzing and improving lines of code. “With r2c’s technology, developers can scan their codebases on-demand or enforce a regular code check through their continuous integration platform,” writes Crichton.