Download RSS feed: News Articles / In the Media / Audio
A new robotic system developed by CSAIL researchers uses UV-C light to kill viruses and bacteria on surfaces and aerosols, reports Darrell Etherington for TechCrunch. “Via cameras and sensors, the robot can map an indoor space, then navigate designed waypoints within that mapped area and disinfect as it goes, keeping track of the areas it has to disinfect,” writes Etherington.
MIT researchers have developed a new robotic system that uses a UV-C light fixture to disinfect surfaces at the Greater Boston Food Bank’s warehouse staging area, reports Matt Reed for WCVB. Research scientist Alyssa Pierson explains that the ultraviolet light "breaks apart the kind of outer incasing or shell of these pathogens."
MIT researchers have developed an AI system that can predict Alzheimer’s risk by forecasting how patients will perform on a test measuring cognitive decline up to two years in advance, reports Casey Ross for STAT.
New tools developed by CSAIL researchers allow users to design a pattern that can be used to 3D print knitted garments, reports Elizabeth Segran for Fast Company. “We’re exciting about how this can be used by everyday, nonexpert knitters,” says graduate student Alexandre Kaspar. “This lets anybody become a designer.”
7 News spotlights how CSAIL researchers have developed two new software systems that are aimed at allowing anyone to customize and design their own knitted design patterns. “The researchers tested the software by having people with no knitting experience design gloves and hats,” explains 7 News reporter Keke Vencill.
Graduate student Alexandre Kaspar speaks with BBC Click about two new systems that ease the process of designing and making knitted clothing items. Kaspar explains that the systems allow users to “create building blocks of parts that are being knit.”
TechCrunch reporter Catherine Shu writes that CSAIL researchers have developed two new systems that enable users to design and customize their own knitted items, no knitting experience required. Shu explains that the researchers want “to make designing and making machine-knitted garments as accessible as 3D printing is now.”
Profs. Daniel Rothman and Daniela Rus contributed to a Boston Globe piece exploring what the next big moonshot challenge should be. Rothman noted that, “We need to understand how the Earth system responds to environmental change,” while Rus expressed a desire to explore interspecies communication and the development of intelligent clothing.
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.