TIME reporter Jeffrey Kluger writes that MIT researchers have designed an algorithm to produce an image of a black hole. Kluger explains that the algorithm will allow researchers “visualize the event horizon that surrounds the black hole at the center of our own galaxy.”
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.”
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.”
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.
MIT researchers have developed an artificial intelligence platform that uses input from human analysts to predict cyber-attacks, reports Brian Mastroianni for CBS News. “We realized, finding the actual attacks involved a mix of supervised and unsupervised machine-learning,” explains research scientist Kalyan Veeramachaneni.
Wired reporter Brian Barrett writes that MIT researchers have developed a new system to help detect cyber-attacks. Barrett explains that the system, “reviews data…and pinpoints anything suspicious. A human takes it from there, checking for signs of a breach. The one-two punch identifies 86 percent of attacks while sparing analysts the tedium of chasing bogus leads.”
Prof. Emilio Frazzoli speaks with Nicole Dungca of The Boston Globe about his new startup nuTonomy, which is developing a fleet of driverless taxis for Singapore. Frazzoli explains that he feels the biggest impact of autonomous vehicles is in “really changing the way we think of personal mobility, or mobility, in general.”
Anthony Cuthbertson writes for Newsweek that MIT researchers have developed a drone that is capable of mimicking a person’s drawings. Cutherbertson explains that, “the drone has been modified to carry a pen, allowing it to copy the actions of a human hand and scale it up through a combination of mechanical and algorithmic methods.”
MIT startup nuTonomy is developing driverless taxis to serve as a form of public transit in Singapore, reports Nyshka Chandran for CNBC. “The driverless taxis will follow optimal paths for picking up and dropping off passengers to reduce traffic congestion,” Chandran explains.
Fortune reporter Robert Hackett writes that MIT spinoff nuTonomy is developing a fleet of driverless taxis for Singapore. Hackett writes that the company “could become the first to operate fully self-driving cars, known as ‘level four,’ in a city commercially.”
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.
Brian Barrett writes for Wired about the new system CSAIL researchers developed to increase the speed at which websites load. “When there’s a lot of objects on the page, that’s where Polaris can really help, because it’s important to prioritize some over the others,” explains graduate student Ravi Netravali.