Download RSS feed: News Articles / In the Media / Audio
Prof. Max Shulaker has fabricated the first foundry-built silicon wafer, a monolithic 3D carbon nanotube integrated circuit, reports Samuel K. Moore for IEEE Spectrum. “We’ve completely reinvented how we manufacture this technology,” explains Shulaker, “transforming it from a technology that only worked in our academic labs to a technology that can and is already today working inside a commercial fabrication facility within a U.S. foundry.”
CSAIL researchers have developed a new system aimed at allowing non-experts to design drones of different sizes and shapes that can alternate between hovering and gliding. The drones combine “the stability and flexibility of a multi-copter, with the speed and fuel efficiency of an airplane.”
Washington Post reporter Martin Weil spotlights the work of Prof. Fernando Corbató, who “drastically expanded the usefulness of the computer and put its benefits at the reach of all.” Weil notes that Corbató, who died on July 12, “fostered the digital revolution by developing shared computer operating systems and also put his stamp on daily life by introducing the computer password.”
Prof. Emeritus Fernando Corbató, a computer pioneer known for his work with time-sharing computing systems and for inventing the computer password, has died at 93, reports the BBC. “Our world would be very different without his research and that of his descendants,” said Prof. Fadel Adib. “He inspires in his work and his legacy."
New York Times reporter Katie Hafner memorializes the life and work of Professor Emeritus Fernando Corbató, known for his work on computer time-sharing systems. Hafner notes that Corbató’s work on “computer time-sharing in the 1960s helped pave the way for the personal computer, as well as the computer password.”
Using a tactile sensor and web camera, MIT researchers developed an AI system that allows robots to predict what something feels like just by looking at it, reports David Williams for CNN. “This technology could be used to help robots figure out the best way to hold an object just by looking at it,” explains Williams.
Forbes contributor Charles Towers-Clark explores how CSAIL researchers have developed a database of tactile and visual information that could be used to allow robots to infer how different objects look and feel. “This breakthrough could lead to far more sensitive and practical robotic arms that could improve any number of delicate or mission-critical operations,” Towers-Clark writes.
MIT researchers have created a new system that enables robots to identify objects using tactile information, reports Darrell Etherington for TechCrunch. “This type of AI also could be used to help robots operate more efficiently and effectively in low-light environments without requiring advanced sensors,” Etherington explains.
Bloomberg News spotlights how MIT researchers have developed a fleet of autonomous boats that can automatically latch onto one another. Bloomberg notes that the boats will be able to “transport goods and people, collect trash and assemble into floating stages and bridges.”
Boston Globe reporter Martin Finucane writes that MIT researchers have developed an automated latching system that could enable a fleet of autonomous boats to connect to docking stations and other boats. Finucane explains that in turbulent water, “after a missed first attempt, the system can autonomously adapt, repositioning the roboat and latching.”
Mashable highlights how MIT researchers have developed a new system of computationally simple robots inspired by biological cells that can connect in large groups to move around, transport objects and complete tasks. Mashable explains that robots made up of simplistic components, “could enable more scalable, flexible and robust systems.”
MIT researchers have developed a low-cost electronic glove equipped with sensors that can use tactical information to identify objects, reports Katherine Wu for NOVA Next. Wu writes that the glove is “easy and economical to manufacture, carrying a wallet-friendly price tag of only $10 per glove, and could someday inform the design of prosthetics, surgical tools, and more.”
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.
Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a deep learning model that could predict whether a woman might develop breast cancer. The system “could accurately predict about 31% of all cancer patients in a high-risk category,” Grothaus explains, which is “significantly better than traditional ways of predicting breast cancer risks.”