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.”
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.”
Prof. Andrew Lo writes for The Wall Street Journal that robo advisors could prove helpful to investors if they are able to assist with managing emotions. “Instead of artificial intelligence, we should first conquer artificial emotion—by constructing algorithms that accurately capture human behavior, we can build countermeasures to protect us from ourselves."
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.
Professors Edward Boyden and Max Tegmark are honored as “Game Changers” in a Boston Globe special section dedicated to highlighting people and organizations for their work. The Globe features Boyden’s work developing tools to better understand the brain, and Tegmark’s involvement in the Future of Life Institute.
WBUR’s Bruce Gellerman speaks with Prof. Carlo Ratti and research scientist Bryan Reimer about the potential impact of driverless cars on everything from traffic to the economy. Reimer says using autonomous vehicles will change, “how we move. It changes how packages are moved. It changes how we behave. It changes the future of old age. It changes everything.”
Popular Science reporter Mary Beth Griggs writes that in an MIT course students developed a fleet of duckie-adorned self-driving taxis for a village called “Duckietown.” “Each of the robot taxis is equipped with only a single camera, and makes its way around the roads without any preprogrammed maps."
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.”
Washington Post reporter Matt McFarland writes that MIT researchers have developed a technique for printing solid and liquid materials at the same time, a development that could make producing robots faster and easier. Prof. Daniela Rus explains that the new process could make “a big difference in what kind of machines you can make.”
Popular Science reporter Kelsey Atherton writes that a new 3-D printing process developed by MIT researchers incorporates both solid and liquid materials at the same time. Atherton explains that the prototype robot developed using the process walks “with hydraulic bellows, fluid pumping in and out to turn a crankshaft that moves the legs back and forth.”
Researchers from MIT CSAIL have developed a new 3-D printing process that produces robots with no assembly required, reports Brian Mastroianni for CBS News. “MIT's new process is significant in that the production period is streamlined, with the robot's solid and liquid hydraulic parts being created in one step,” Mastroianni explains.
Boston Magazine reporter Jamie Ducharme writes that MIT researchers have developed a way to simultaneously 3-D print liquid and solid materials, “allowing them to create functional, nearly assembly-free robots.”