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Alyssa Newcomb writes for NBC News that MIT researchers have developed a system that allows users to interact with virtual objects. Newcomb explains that the “technology could be used to make movies or even by engineers wanting to find out how an old bridge may respond to inclement weather.”
CSAIL researchers have created a tool that allows people to interact with videos, writes Mary Beth Griggs for Popular Science. The technique could “make augmented reality animations integrate even more with the 'reality' part of augmented reality, help engineers model how structures will react when different forces are applied, or as a less expensive way to create special effects.”
A portable device developed by MIT researchers uses programmable yeast to create drugs on demand, reports Jamie Ducharme for Boston Magazine. The device “could be a lifesaver for doctors working in vulnerable conditions, such as the battlefield, a remote village, or even an ambulance,” writes Ducharme.
Popular Science reporter Samantha Cole writes that MIT researchers have developed a laptop-sized, portable device that can produce biopharmaceuticals for doctors in remote locations. Cole explains that the device can “produce a single dose of treatment with a series of steps, using genetically engineered yeast cells as a mini 'factory' for a variety of customizable drugs.”
Boston Herald reporter Lindsay Kalter writes that MIT researchers have developed a portable pharmacy that can manufacture biopharmaceuticals and modify treatments. “Instead of relying on a cocktail that already exists, you can reprogram the reactor on demand to customize the treatment,” says Prof. Timothy Lu.
Oscar Williams writes for The Huffington Post about a new prototype for a glasses-free, 3-D movie screen developed by CSAIL researchers. The prototype "harnesses a blend of lenses and mirrors to enable viewers to watch the film from any seat in the house.”
In this CBS News article, Michelle Star writes that CSAIL researchers have developed a method that allows moviegoers to see 3-D movies without wearing glasses. Star notes that the prototype “has been demonstrated in an auditorium, where all viewers saw 3-D images of a consistently high resolution.”
By projecting images through multiple lenses and mirrors, CSAIL researchers have developed a new prototype movie screen that allows viewers to see 3-D images without glasses, reports Aaron Smith for CNN Money.
MIT researchers have developed a prototype for a cinema-sized 3-D movie screen that would allow users to watch 3-D movies without glasses, reports Mary Beth Griggs for Popular Science. As people generally sit in fixed seats in a cinema, the researchers developed a prototype that “can tailor a set of images for each individual seat in the theater.”
CSAIL researchers have developed a way for people to watch 3-D movies without glasses, writes Kevin Slane for Boston.com. The new display the researchers developed “would use a series of lenses and mirrors to allow audiences to see the same three-dimensional image from any seat in a theater.”
CSAIL researchers trained a robot to analyze and make scheduling suggestions in a hospital labor ward, writes Kelsey Atherton for Popular Science. Atherton writes that “by adding in a robot that can analyze scheduling needs, hospitals could make better informed decisions.”
The curved origami sculptures created by Prof. Erik Demaine and his father Martin Demaine are featured in the exhibit “Above the Fold: New Expressions in Origami,” writes Solvej Schou for the Associated Press. The father-son duo use math algorithms to solve paper-folding problems. "Our work grows directly out of our decades collaborating together in mathematics and sculpture," explains Prof. Demaine.
Mary Beth Griggs writes for Popular Science that CSAIL researchers have created an algorithm that can predict human interaction. Griggs explains that the algorithm could “lead to artificial intelligence that is better able to react to humans or even security cameras that could alert authorities when people are in need of help.”
Dan Misener writes for CBC News that CSAIL researchers have developed an algorithm that can predict interactions between two people. PhD student Carl Vondrick explains that the algorithm is "learning, for example, that when someone's hand is outstretched, that means a handshake is going to come."
CSAIL researchers have trained a deep-learning program to predict interactions between two people, writes Hope King for CNN. “Ultimately, MIT's research could help develop robots for emergency response, helping the robot assess a person's actions to determine if they are injured or in danger,” King explains.