Dr. Mallika Marshall reports for CBS Boston that MIT researchers have created a robot that helps maternity nurses make scheduling and placement decisions. “What we found was that the suggestions of the robot were accepted 90 percent of the time, which was very exciting for us,” explains Prof. Julie Shah.
Daniel Akst of The Wall Street Journal writes that by bouncing electromagnetic waves off of pages, MIT researchers have developed a way to read closed books. The system could potentially be used also be used to count stacks of money and detect counterfeit currency, Akst explains.
A new device developed by MIT researchers can read the pages of a book without opening the cover, reports Nsikan Akpan for the PBS NewsHour. The tool may “unlock the secrets of old books or ancient texts too fragile to be disturbed by human touch.”
MIT researchers have developed a system that uses terahertz waves to read the pages of a closed book, reports Michael Casey for the AP. Research scientist Barmak Heshmat explains that the system works better than X-rays, as “it can contrast between the blank paper and the part that has ink.”
Writing for CBS News, Charles Choi explores a system developed by MIT researchers that can identify letters in a closed book. The system could be used to examine ancient books or to “scan through large amounts of documents without having to mechanically separate the pages, which could be useful for libraries, banks and others,” says research scientist Barmak Heshmat.
Salon reporter Scott Eric Kaufman writes that MIT researchers have created a system that can read the pages of a closed book and could be used to examine manuscripts too fragile to handle. “The system works by shooting pulses of radiation from a terahertz camera and measuring how long it takes for them to bounce back."
MIT researchers have developed a new computational imaging technique that can read closed books, reports G. Clay Whittaker for Popular Science. The technique could be useful for “rare book research, where opening a book may be impossible due to damage, or not worth the risk of damage.”
MIT researchers have developed a new algorithm to create videos from still images, writes G. Clay Whittaker for Popular Science. “The system "learns" types of videos (beach, baby, golf swing...) and, starting from still images, replicates the movements that are most commonly seen in those videos,” Whittaker explains.
Gabrielle DiBenedetto writes for Boston Magazine that researchers from MIT CSAIL have developed a robot that can help nurses schedule tasks. DiBenedetto writes that the robot “learns how to perform the scheduling job similarly to how a human would: through observation.”
CSAIL researchers recently presented an algorithm that teaches computers to predict sounds, writes Kevin Hartnett for The Boston Globe. The ability to predict sounds will help robots successfully navigate the world and “make sense of what’s in front of them and figure out how to proceed,” writes Hartnett.
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.
CSAIL researchers used videos of popular TV shows to train an algorithm to predict how two people will greet one another. “[T]he algorithm got it right more than 43 percent of the time, as compared to the shoddier 36 percent accuracy achieved by algorithms without the TV training,” notes Janet Burns in Forbes.
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."