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.”
Graduate student Andrew Barry has created software that allows a self-piloting drone to dodge obstacles at 30 miles per hour, reports Robert Ferris for CNBC. “The software, which is open source and available for free online, runs 20 times faster than existing navigational software,” reports Ferris.
Alyssa Newcomb reports for ABC News on a system developed by graduate student Andrew Barry that allows drones to avoid obstacles. Newcomb explains that the system, "operates at 120 frames per second and is able to extract depth information at a speed of 8.3 milliseconds per frame."
MIT researchers “demonstrated that a drone can zip through a maze of trees at 30 miles per hour swerving past obstacles in its way. The craft was able to do this using a stereo-vision algorithm that rapidly detects and avoids objects immediately in front of the craft,” reports Nidhi Subbaraman for BetaBoston.
MIT researchers have developed a drone that can recognize obstacles while flying at speeds of 30 miles per hour, writes Mary Beth Griggs for Popular Science. The drone creates a map of the world, “identifying obstacles, and mapping a path around them.”