Wired reporter Matt Simon writes that CSAIL researchers have developed a new system that allows noncoders to be able to teach robots a wide range of tasks, and enables robots to transfer new skills to other robots. Simon notes that the development is a “glimpse into a future where, more and more, robots communicate without humans at all.”
Boston Globe columnist Scott Kirsner speaks with Professors Regina Barzilay and Tommi Jaakkola about their Introduction to Machine Learning class. Jaakkola explains that the course connects “the more theoretical, algorithmic stuff students are learning to actual data and problems.”
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.
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.
In this Wired video, Prof. Daniela Rus speaks about how her research group is developing and applying autonomous vehicle technology to other vehicles, in particular wheelchairs. Rus explains that she envisions the technology “impacting anyone who is confined in their motions. I see it applied in hospitals, in retirement communities, in assisted living communities.”
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.
In a Huffington Post article, Prof. David Autor lists the pressing long-and short-term issues that economists will focus on in 2017. Among the long-term concerns are the effects of artificial intelligence and machine learning, which could potentially disrupt “the value of products produced using manual labor in the developing world.”
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.
The Media Lab will serve as one of the first anchor institutions for a new initiative, the Ethics and Governance of Artificial Intelligence Fund, which will “support research and development to make AI beneficial for humans,” reports Jordan Graham for the Boston Herald.
The Media Lab will serve as a founding institution for a new effort focused on advancing artificial intelligence research for the public good, reports April Glaser for CNBC. Research will focus on everything from investigating how” socially responsible artificially intelligent systems can be designed” to fostering “understanding of the complexities of artificial intelligence.”