Bloomberg News reporter John Tozzi writes about a new study co-authored by MIT researchers that finds a growing disparity between the life expectancies of rich and poor Americans. The researchers found that, “top earning Americans gained 2 to 3 years of life expectancy between 2001 and 2014, while those at the bottom gained little or nothing.”
In an article for The Chronicle of Higher Education, Corinne Ruff highlights MIT’s new “MicroMaster’s” credential. Prof. Anant Agarwal, CEO of edX, noted that the pilot program offers a new path for admissions into MIT’s Supply Chain Management program.
Researchers have created a gravity map of Mars that provides insight into the planet’s interior, reports Brian Mastroianni for CBS News. MIT postdoc Antonio Genova says the map will be, “helpful for future Mars exploration, because better knowledge of the planet's gravity anomalies helps mission controllers insert spacecraft more precisely into orbit around Mars.”
In this BBC News video, postdoc Brad Hayes explains how his algorithm uses transcripts of presidential candidate Donald Trump’s speeches to compose tweets. “The real reason why this works is because Donald Trump tends to use these very short, imperative statements,” Hayes says.
Popular Science reporter Dave Gershgorn writes that postdoc Bradley Hayes has created an algorithm that tweets fragments of Donald Trump’s speeches. Gershgorn explains that, “the algorithm works by selecting a random letter, and then predicting what letter would normally come next, based on the original text.”
Boston.com reporter Emily Anderson speaks with graduate student Adrian Dalca about how the million photos he captured of the Boston skyline could be used to predict changes in the city. “You can get these patterns of change over time,” explains Dalca. “And it would be interesting to predict what’s going to happen here in the next year.”
Graduate student Adrian Dalca speaks with Metro reporter Spencer Buell about how the million photos he snapped of the Boston skyline could fuel advances in a variety of areas. “There are more scientific questions you can answer with a lot of data, which you couldn’t do if you only had a few images,” says Dalca.
Kyle Clauss writes for Boston Magazine about graduate student Adrian Dalca, who captured one million photographs of the Boston skyline. The resulting collection, called the Boston Timescape Project, is a “comprehensive collection of view of our fair metropolis, in every season, in every condition,” writes Clauss.
A number of MIT students, researchers and alumni have been named to Forbes’ annual “30 Under 30” list, which honors rising stars in 20 different sectors.
BetaBoston reporter Elizabeth Preston writes that MIT graduate students are explaining complex aerospace engineering topics to a class of fifth grader students in Georgia. Teacher Alana Davis says of the MIT students that, “I don’t think they realize what a difference they’re making in these kids’ lives.”
Atlantic reporter April Wolfe writes that three MIT materials science and engineering students have developed a washing machine filter that recycles 95% of laundry wastewater. The device filters “the small amount of waste and recycles the clean water and detergent for further cleaning cycles.”
Graduate student Daniel McDuff is developing a computer system that can read human emotions by monitoring facial movements, reports Jane Wakefield for BBC News. “It translates that into seven of the most commonly recognized emotional states - sadness, amusement, surprise, fear, joy, disgust and contempt,” McDuff explains.
In this video, Jim Drury of Reuters examines the new system developed by MIT researchers that enables drones to map and successfully navigate a new landscape.
Washington Post reporter Matt McFarland writes about graduate student Andrew Barry’s work developing a system that allows drones to successfully navigate obstacles. McFarland writes, “the work is significant because it shows a drone avoiding obstacles in an area that hasn’t been previously mapped.”
MIT researchers have developed a detection system that allows a drone to navigate obstacles while flying at speeds of 30 mph, writes Barb Darrow for Fortune. Darrow explains that the research is aimed at mitigating “the risk of using potentially very useful technology not just for package delivery but for building or land inspections, journalism, even fire fighting.”