CSAIL researchers have trained a deep-learning program to predict interactions between two people, writes Hope King for CNN. “Ultimately, MIT's research could help develop robots for emergency response, helping the robot assess a person's actions to determine if they are injured or in danger,” King explains.
In an article for Wired, Tim Moynihan writes that a team of CSAIL researchers has created a machine-learning system that can produce sound effects for silent videos. The researchers hope that the system could be used to “help robots identify the materials and physical properties of an object by analyzing the sounds it makes.”
Ryan Mandelbaum of Popular Science speaks with David Shoemaker, who leads MIT’s LIGO Lab and Advanced LIGO, about the second successful detection of gravitational waves. "It’s wonderful," says Shoemaker. "It’s so different from the first one ... but its importance is no less."
Boston Globe reporter Eric Moskowitz writes that scientists have been able to detect gravitational waves for the second time. “It’s a wondrous thing,” said David Shoemaker, who leads the MIT lab that helped build the detectors. “Three months apart, 1.4 billion years ago, these two events happened at two different places in the sky.”
Scientists have observed a second pair of black holes colliding using the twin detectors of the Laser Interferometer Gravitational Wave Observatory (LIGO), reports Dennis Overbye for The New York Times. Overbye writes that LIGO provides “a way of hearing the universe instead of just looking at it.”
For the second time, scientists have detected gravitational waves produced by the collision of two black holes, reports Irene Klotz for Reuters. “We are starting to get a glimpse of the kind of new astrophysical information that can only come from gravitational-wave detectors,” says David Shoemaker, who leads Advanced LIGO.
In an article for New Scientist, Lisa Grossman writes that for the second time the Laser Interferometer Gravitational Wave Observatory (LIGO) has detected gravitational waves. “This gives us confidence,” says MIT research scientist Salvatore Vitale. “It was not just a lucky accident. Seeing a second one tells us clearly that there is a population of black holes there.”
Writing for the Financial Times, Clive Cookson reports that MIT researchers have developed an artificial intelligence system capable of producing realistic sounds for silent movies. Cookson explains that another application for the system could be “to help robots understand objects’ physical properties and interact better with their surroundings."
Washington Post reporter Matt McFarland writes that MIT researchers have created an algorithm that can produce realistic sounds. “The findings are an example of the power of deep learning,” explains McFarland. “With deep learning, a computer system learns to recognize patterns in huge piles of data and applies what it learns in useful ways.”
Popular Science reporter Mary Beth Griggs writes that MIT researchers have developed an algorithm that can learn how to predict sound. The algorithm “can watch a silent movie and create sounds that go along with the motions on screen. It's so good, it even fooled people into thinking they were actual, recorded sounds from the environment.”
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.”