MIT graduate student Katie Bouman speaks with Ben Johnson of Marketplace about the algorithm she and her colleagues developed to allow people “to see the first image of a black hole.” Johnson notes the algorithm has uses beyond space exploration and could also potentially be used for MRI imaging.
MIT researchers have developed a new algorithm to compile data gathered by the Event Horizon Telescope and create an image of a black hole, reports James Griffiths for CNN. The algorithm will “fill in the gaps and filter out the interference and noise caused by our own atmosphere,” Griffiths explains.
Washington Post reporter Brian Fung writes that MIT researchers have developed an algorithm to create images of black holes by compiling data from radio telescopes around the world. Fung writes that the algorithm “could give us the first true images of a celestial phenomenon that, for decades, we've left to artists to imagine and describe with pictures.”
In an article for CNN Money about developments in battery technology, Jackie Wattles highlights a new approach developed by MIT researchers that could help pave the way for solid-state lithium-ion batteries. Wattles explains that such technology could “survive hundreds of thousands of charges, store 20% to 30% more power, and isn't as susceptible to overheating.”
An algorithm developed by MIT researchers could help produce the first image of a black hole, reports Ryan Mandelbaum for Popular Science. Mandelbaum explains that the algorithm gathers data from radio telescopes around the globe and then uses “other images from space as references to craft a sort of mosaic that best matches the data from the telescopes.”
Boston Globe reporters J.D. Capelouto and Olivia Arnold write that MIT researchers have developed an algorithm aimed at producing images of black holes. MIT graduate student Katie Bouman notes that while there are predictions of what a black hole might look like, “it’s great to actually be able to probe it and…construct those images.”
Prof. Daniela Rus speaks with The Boston Globe’s Kevin Hartnett about her goal to create customizable, printable robots. “The idea is anyone could walk into a 24-hour robot manufacturing store with some idea of what they want,” Rus says. “Maybe a robot to entertain the cat while you’re at work or play chess with you or fold your laundry.”
MIT alumnus Robert Smith speaks with Boston.com reporter Meagan McGinnes about his perfect attendance record for his class reunions. Smith, who graduated from MIT in 1941, says that the reunions provide the opportunity to “get reacquainted with my classmates, and make new acquaintances that maybe I didn’t know from my class of about 400.”
MIT researchers have discovered that a bacterium found in the human mouth can be used to form a new CRISPR gene-editing system that can target RNA, reports Carl Zimmer for The New York Times. The development “may open up a new front in gene engineering, gaining the ability to precisely adjust the proteins in cells, for instance, or to target cancer cells."
Boston.com reporter Sanjay Salomon writes about how “Duckietown,” a model city developed by MIT researchers, could help make self-driving cars a reality. “We realized if you scale down autonomous driving to something very small there’s lots of research to do on a smaller scale with none of the logistical challenges of real autonomous vehicle research,” explains postdoc Liam Paull.
New Scientist reporter Colin Barras writes that MIT researchers have found they can program C2c2, an enzyme found in bacteria, to serve as an RNA-editing tool. Barras writes that the tool “promises to transform our understanding of RNA’s role in our growth and development, and provide a new avenue for treating infectious diseases and cancer.”
Michael Le Page writes for New Scientist that MIT researchers have developed a technique that allows cells to log their activities using the CRISPR gene-editing system. Le Page explains that “such CRISPR-based logging could have a huge range of uses, from smart cells that monitor our health from within, to helping us understand exactly how our bodies develop.”
A new analysis by MIT researchers verifies the difficulty of the popular video game “Super Mario Brothers.” MIT researchers found that the game’s challenges belong to the “PSPACE” category of equations, “requiring exponential time to both solve, and to prove algorithmically,” G. Clay Whittaker of Popular Science explains.
In this article and video, Nature reporter Corie Lok spotlights Prof Lydia Bourouiba’s work studying the fluid dynamics of coughing and sneezing. Bourouiba explains that her research combines “fluid mechanics to problems that are relevant in health and epidemiology to understand better how pathogens are transmitted.”
Stephanie Couch has been named the new executive director of the Lemelson-MIT program, reports Curt Woodward for The Boston Globe. Woodward notes that Couch “comes to MIT from California State University at East Bay, where she specialized in advancing science, technology, engineering, and math education.”