Download RSS feed: News Articles / In the Media / Audio
Timothy Revell writes for New Scientist about a new report by MIT researchers that calls for securing critical U.S. infrastructure against cyberattacks. Joel Brenner, former NSA inspector general and a research fellow at the MIT Center for International Studies, explains that “we know how to fix the vulnerabilities, but there’s no market incentive for companies to do so.”
Prof. Daniela Rus speaks to the BBC’s Gareth Mitchell about the robots developed by CSAIL that can modify their behavior based on brain waves detected by a human operator. “We imagine operating prosthetic devices, a wheelchair, even autonomous vehicles,” says Prof. Rus.
MIT researchers have developed a new low-power chip that could make voice control practical for simple electronic devices, reports Tim Moynihan for Wired. While other speech-processing platforms use the cloud to process voice commands, “the MIT chip handles much more of that processing itself.”
CSAIL researchers have developed a system that allows robots to correct their mistakes based on input from the brainwaves of human operators, reports Wired’s Matt Simon. “It’s a new way of controlling the robot,” explains Prof. Daniela Rus, “in the sense that we aim to have the robot adapt to what the human would like to do.”
Anthony Cuthbertson of Newsweek writes that CSAIL researchers have developed a system that allows robots to change their actions based on feedback from the brain waves of a human operator. “Imagine robots or smartphones that could immediately correct themselves when you realize they’re making a mistake,” says PhD candidate Joseph DelPreto.
CSAIL researchers have developed a system that allows robots to detect brain signals generated by human operators, writes Oscar Williams of Huffington Post. The researchers hope the new system could “pave the way for more seamless interactions between robots and humans.”
A feedback system developed by CSAIL researchers allows humans to correct a robot’s mistakes using brain signals, writes Janet Burns for Forbes. The system could be used as a “communication method for those who can't use verbal means, such as immobilized or even 'locked in' victims of paralysis,” explains Burns.
MIT researchers have developed a device that allows humans to guide robots using brainwaves, reports Clive Cookson for the Financial Times. The prototype brain-computer interface “enables a human observer to transmit an immediate error message to a robot, telling it to fix a mistake when it does something wrong.”
Daniel Akst of The Wall Street Journal writes about the wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. The researchers “are pushing the boundaries by training a computer to take account of such a wide range of factors in making judgments about emotion,” writes Akst.
Science Friday reporter Ira Flatow and Motherboard reporter Daniel Oberhaus discuss a wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. Oberhaus explains that the researchers hope the device could one day be “applied with much finer emotional granularity, to the point where you can tell if the story was exciting or funny.”
Jonathan Amos reports for the BBC News that scientists around the world are close to obtaining the first image of a black hole. Data from multiple observatories will be compiled at MIT’s Haystack Observatory where “very smart imaging algorithms have had to be developed to make sense of the [Event Horizon Telescope]'s observations,” writes Amos.
In this episode of NOVA that explores how origami is being used in scientific innovations, Prof. Erik Demaine speaks about his work applying math to create new origami figures. “It’s mind blowing that the simple operation of folding lets you transform a boring square of paper into super complicated, crazy 3-D shapes," he explains.
TechCrunch reporter Brian Heater writes that MIT researchers have developed a speech recognition chip that uses a fraction of the power of existing technologies. “The chip is essentially designed to be always on in a low-power mode, switching over when voice is detected, thus making it ideal for technologies like wearable devices,” Heater explains.
CSAIL researchers Tuka Al-Hanai and Mohammad Ghassemi speak to the BBC’s Gareth Mitchell about their system that can detect the tone of a conversation. Ghassemi explains that this research will provide “the first steps toward feedback,” for people who struggle to read social cues.
CSAIL researchers have developed a wearable AI system that allows users to detect the tone of a conversation in real-time, reports Janet Burns for Forbes. Using two algorithms to analyze data, the researchers were able to “classify each five-second chunk of conversation as positive, neutral, or negative,” explains Burns.