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.
In this video, TechCrunch explores how MIT researchers are designing new techniques to make it easier for robots to grasp and manipulate objects. Graduate student Nikhil Chavan-Dafle explains that he and his colleagues developed a model that allows robots to “predict how an object is going to move in the grasp.”
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.”
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.”
Kelsey Atherton of Popular Science writes that MIT researchers have created a hydrogel robot that could be used to create “soft, gentle hands that can help surgeons when they’re working inside squishy, delicate human bodies."
Patrick Gillespie of CNN highlights the work of Professors Daron Acemoglu and David Autor in a piece about how automation is responsible for more job losses than trade. Acemoglu explains that by preventing trade now, “some of that production might come back, but the employment that comes back will not be for people, it will be for robots."
Wall Street Journal reporter David Harrison writes that a study by Prof. Daron Acemoglu shows that aging populations have not had a negative effect on economic growth. The researchers found that investments in robotics “make it easier for firms to replace departing workers even when there are fewer younger workers to take the retirees’ place.”
Cynthia Graber writes for The Boston Globe Magazine that MIT researchers developed a robot to collect sewage samples, in an effort to gain a better understanding of public health problems. The samples can pinpoint harmful environmental factors as well as “neighborhoods with high rates of infectious diseases or even obesity, levels of illegal drug use, and pollutants.”
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.”
Guardian reporter Nicola Davis spotlights Prof. Hugh Herr’s development of an autonomous exoskeleton device that could reduce the amount of energy humans use to walk. “We are taking a first principle approach, and joint by joint understanding deeply what has to be done scientifically and technologically to augment a human,” Herr explains.
Writing for Wired, Juan Enriquez highlights the MIT Center for Extreme Bionics, which was launched in an effort to develop technologies that augment human performance and could help eliminate disabilities. Enriquez writes that the center’s “long-term ambitions are breathtaking.”
Kevin Murnane of Forbes spotlights five innovations developed by CSAIL researchers in 2016. Murnane highlights an ingestible origami robot, a 3-D printed robot with solid and liquid components, a robot that can assist with scheduling decisions, an artificial neural network that can explain its decisions, and an algorithm that can predict human interactions.