STAT reporter Eric Boodman writes that MIT researchers have engineered living materials that glow when they detect certain chemicals. Boodman notes that the researchers hope the living sensors “could at some point be used to pick up dangerous toxins or the chemical signs of disease.”
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.
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.”
New Scientist reporter Matt Reynolds writes that MIT researchers have developed a new brain-computer interface that enables people to correct robots’ mistakes using brain signals. “We’re taking baby steps towards having machines learn about us, and having them adjust to what we think,” explains Prof. Daniela Rus, director of CSAIL.
Nima, a startup founded by alumni Shireen Yates and Scott Sundvor, has been named to CNBC’s list of 25 promising start-ups for its portable food allergy detector, reports Ashley McHugh-Chiappone. “I just wanted a quick, easy way to test a piece of the dish and see for myself if it was gluten-free," says Yates of her inspiration for the device.
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.”
Researchers at MIT have designed a new living material infused with cells that could one day be used as a wearable sensor, writes Brooks Hays for UPI. The researchers used the new material to “design gloves and bandages that light up when they come in contact with target chemicals.”
Dan Misener of CBC News writes that a wearable device developed by MIT researchers detects the tone of conversation by listening to the interaction and measuring the physiological responses of the user. “All of that data is fed into a neural network that's been trained to identify certain cues,” explains Misener.
CSAIL researchers have developed a wearable system that can gauge the tone of a conversation based on a person’s speech patterns and vitals with 83 percent accuracy, writes Brian Barrett for Wired. The system could be useful for people with social anxiety or Asperger’s, Barrett explains.
Hallie Smith writes for Boston Magazine that CSAIL researchers have developed a system that can help detect of the tone of a conversation. The system could be especially useful “for those who struggle with emotional and social cues, such as individuals with Asperger’s Syndrome,” Smith explains.