MIT researchers have designed a multi-material 3-D printer that is relatively inexpensive and user-friendly, reports Michael Rundle for Wired. "The platform opens up new possibilities for manufacturing, giving researchers and hobbyists alike the power to create objects that have previously been difficult or even impossible to print," says research engineer Javier Ramos.
Brian Barrett writes for Wired about the new, low-cost 3-D printer developed by researchers at MIT CSAIL that can print 10 different materials at once. Research engineer Javier Ramos explains that the team wanted to make the printer, “inexpensive, and a software platform that we would keep open and hackable.”
Motherboard reporter Victoria Turk writes that MIT researchers have developed a 3-D printer that can print up to 10 different materials at once. Turk describes how the printer can create “a lens on top of an LED bulb" and other objects.
Researchers from MIT CSAIL have created a 3-D printer that can print 10 different materials simultaneously, reports Kelsey Atherton for Popular Science. The new printer can also “incorporate other, finished parts directly into the design— all at a fraction of the cost of complex industrial 3D printers.”
Los Angeles Times reporter Jenn Harris writes that MIT researchers have developed a system that allows teams of robots to deliver items. Harris explains that the researchers hope their technique could be used to allow robots to aid in situations like “getting supplies and medicine across a battlefield in a war-torn country.”
MIT researchers have developed a program that allows a team of robots to work together to serve drinks, reports Lorenzo Ligato for the Huffington Post. The researchers, “programmed the robots with complex planning algorithms, which allowed the machines to engage in higher-level reasoning about their location, status and behavior -- similarly to they way humans perform tasks.”
Kelsey Atherton of Popular Science reports on a system created by MIT researchers that allows robots to work in tandem to serve drinks. “This has uses beyond bartending,” writes Atherton. “MIT sees it as a potential system for hospitals or rescue work.”
MIT researchers have developed a new algorithm that allows robots to work together to efficiently serve drinks, Nidhi Subbaraman writes for BetaBoston. Subbaraman explains that the technique provides a “smarter approach to collaboration, preparing for possible missteps like dropping a bottle, or picking up the wrong one.”
Charlotte Lytton writes for The Daily Beast about SenseGlass, a mirror created by graduate student Javier Hernandez that uses Google Glass technology to register physiological and emotional changes in the viewer. “I believe mirrors are a great platform for health monitoring as we use them [everyday],” says Hernandez.
“MIT PhD student Abe Davis has developed video technology that reveals an object’s hidden properties,” writes Joanna Goodman for The Guardian. “Davis uses high-speed silent video to capture and reproduce sound, including music and intelligible speech, from the vibrations it makes on inanimate objects.”
Popular Science reporter Levi Sharpe writes that MIT researchers have developed an object recognition system that can accurately identify and distinguish items. “This system could help future robots interact with objects more efficiently while they navigate our complex world,” Sharpe explains.
Financial Times reporter Richard Waters writes about how graduate student Abe Davis’ motion magnification research could be used to create more realistic virtual worlds. Waters writes that Davis’ work presents the “possibility of capturing and manipulating real-world objects in virtual space.”
In this video, BBC Click’s LJ Rich explores how researchers at MIT CSAIL have devised a system that can reconstruct sound from a video recording. “I think what’s really different about this technology is that it provides you with a way to image this information,” says graduate student Abe Davis.
MarketWatch reporter Sally French writes that researchers from MIT CSAIL have developed an algorithm that can be used to predict how memorable a person’s is. “The algorithm was created from a database of more than 2,000 images that were awarded a “memorability score” based on human volunteers’ ability to remember the pictures,” French writes.
Steven Rosenbaum highlights PhD student Abe Davis’ TED talk in a piece for Forbes. Rosenbaum writes that Davis “has co-created the world’s most improbable audio instrument.”