Forbes contributor Stephanie MacConnell spotlights the work of research affiliate Shriya Srinivasan PhD '20 in a roundup of women under the age of 30 who are transforming U.S. healthcare. Srinivasan is “working on technology that will enable patients to control and even ‘feel’ sensation through their prosthetic limb,” notes MacConnell.
Ikigai, an MIT startup, is building automated workflows where human decision making will be a part of the process, reports Ron Miller for Tech Crunch. “What we saw is that there are use cases… [that involve] manual processes in the organizations that were extremely difficult to automate because a fundamental step involved humans making judgements or decisions with data, and where both the data and rules they’re operating on would change very often,” co-founder and CEO Vinayak Ramesh M.Eng ‘18, ‘12 tells Miller.
Popular Science reporter Charlotte Hu writes that MIT researchers have simulated an environment in which socially-aware robots are able to choose whether they want to help or hinder one another, as part of an effort to help improve human-robot interactions. “If you look at the vast majority of what someone says during their day, it has to do with what other [people] want, what they think, getting what that person wants out of another [person],” explains research scientist Andrei Barbu. “And if you want to get to the point where you have a robot inside someone’s home, understanding social interactions is incredibly important.”
MIT researchers have developed a new machine learning system that can help robots learn to perform certain social interactions, reports Brian Heater for TechCrunch. “Researchers conducted tests in a simulated environment, to develop what they deemed ‘realistic and predictable’ interactions between robots,” writes Heater. “In the simulation, one robot watches another perform a task, attempts to determine the goal and then either attempts to help or hamper it in that task.”
MIT researchers are using magnets to help improve control of prosthetic limbs, reports Emmett Smith for Mashable. “The researchers inserted magnetic beads into muscle tissue to track the specific movements of each muscle,” reports Smith. “That information is then transferred to the bionic limb, giving the users direct control over it.”
Prof. Daron Acemoglu makes the case in a piece for The Washington Post that there should be oversight of how AI is applied, arguing that current AI technologies are already having tangible impacts on the labor market, the criminal justice system and on democratic discourse and politics. “Will AI be allowed to work increasingly to displace and monitor humans, or steered toward complementing and augmenting human capabilities,” Acemoglu writes, “creating new opportunities for workers?”
In this video, Mashable spotlights how MIT researchers have developed a new system that can 3-D print objects without human intervention. “The system works thanks to a software toolkit that lets you design custom blueprints,” Mashable explains.
CSAIL researchers have developed a new system, dubbed LaserFactory, that can print custom devices and robots without human intervention, reports Brian Heater for TechCrunch. “The system is comprised of a software kit and hardware platform designed to create structures and assemble circuitry and sensors for the machine,” Heater writes.
Boston Globe reporter Hiawatha Bray spotlights Pison Technology, an MIT startup that has developed a new gesture control system that can be used to manipulate “digital devices by intercepting the electronic traffic between our hands and our brains, and translating them into commands the machines can understand.”
Wall Street Journal reporter Paul Berger highlights Superpedestrian, an MIT startup and electric scooter company that secured $60 million in funding. Berger notes that Superpedestrian “spent more than four years designing a vehicle intelligence system that can diagnose and maintain itself.”
CSAIL’s RoboRaise robot can successfully execute the Bottle Cap Challenge, removing a bottle cap with a well-placed kick, reports Darrell Etherington for TechCrunch. Etherington explains that the robot, “can mirror the actions of a human just by watching their bicep. This has a number of practical applications, including potentially assisting a person to lift large or awkward objects.”
In this video, Mashable highlights how CSAIL researchers have developed a new system that can help lift heavy objects by mirroring human activity. The system uses sensors that monitor muscle activity and detect changes in the user’s arm.
Popular Science reporter Rob Verger writes that MIT researchers have developed a new mechanical system that can help humans lift heavy objects. “Overall the system aims to make it easier for people and robots to work together as a team on physical tasks,” explains graduate student Joseph DelPreto.
In this video, Mashable spotlights how MIT researchers have developed an origami-inspired soft robotic gripper that can grasp a wide variety of objects.
In an article for the Financial Times, Ashley Nunes, a research affiliate at MIT, writes about the Ethiopian Airlines crash and examines the limits of automation. “The more automated the system, the more crucial the human operator becomes,” writes Nunes. “That’s because automation doesn’t purge demand for human labour, instead it changes the type of labour needed.”