A new study conducted by MIT researchers shows that ride-sharing services could reduce the number of cars on the road in New York City by 75 percent, according to the BBC News. The researchers found that “a fleet of 3,000 four-passenger taxis could do the same job as the current fleet of 13,000 yellow cabs in New York City.”
A new study by MIT researchers provides evidence that if more people in New York City were willing to carpool, the city would only need 3,000 taxis, reports Hiawatha Bray for The Boston Globe. With carpooling, “we have fewer vehicles, we have less pollution and we have a better travel situation for everyone,” explains Prof. Daniela Rus.
CSAIL researchers have found that ride-sharing taxis controlled by a citywide computer system could decrease the number of cars on the road in New York City, reports Clive Cookson for the Financial Times. The researchers found that “3,000 four-passenger cars could satisfy 98 per cent of the city’s demand.”
Washington Post reporter Faiz Siddiqui writes that MIT researchers have found that 3,000 four-person cars could serve 98 percent of New York City’s taxi demand. “Fewer cars on roads means improved quality of life for everyone, it means better traffic, it means lower pollution, it’s a better transportation experience,” explains Prof. Daniela Rus.
CNN reporter Matt McFarland writes about a new MIT study that finds ridesharing would allow the number of taxi cabs in Manhattan to be reduced by 78 percent, cutting congestion and pollution in the city. The study showed that “only 3,000 four-person sedans are needed to serve 98% of ride demands in Manhattan.”
Research by Prof. Erik Demaine looks to find the best method for wrapping spherical objects, writes Sophie Bushwick for Popular Science. By examining how an Austrian candy maker wraps round candies, Demaine found that foil is the best material as “it makes lots of little tiny crinkles, or folds.”
Kevin Murnane of Forbes spotlights five innovations developed by CSAIL researchers in 2016. Murnane highlights an ingestible origami robot, a 3-D printed robot with solid and liquid components, a robot that can assist with scheduling decisions, an artificial neural network that can explain its decisions, and an algorithm that can predict human interactions.
MIT researchers have developed a technique to make big data more manageable, writes Kevin Murnane for Forbes. The technique creates "coresets" that can be used by data analysis tools “often applied in computer vision, natural language processing, neuroscience, weather prediction, recommendation systems and more.”
Prof. James Collins has been named one of The Boston Globe’s “2016 Bostonians of the Year” for his work developing a paper-based test that can detect the Zika virus in just a few hours. Neil Swidey notes that Collins also developed a “workflow for how this new platform could be adapted to meet future crises.”
Washington Post reporter Nick Anderson writes that four MIT students - Matthew Cavuto, Zachary Hulcher, Kevin Zhou and Daniel Zuo - have been named recipients of the prestigious Marshall scholarships. The MIT group is “the largest delegation of Marshall Scholars named this year from a single school.”
A new system developed by MIT researchers can predict how a scene will unfold, similar to how humans can visually imagine the future, reports Ed Gent for Scientific American. Graduate student Carl Vondrick explains that the system is “an encouraging development in suggesting that computer scientists can imbue machines with much more advanced situational understanding."
MIT researchers have found that flashing lights could potentially be used to stave off Alzheimer’s disease, writes Oscar Williams for The Huffington Post. “Light stimulation directed to the hippocampus, the part of the brain that processes memories, led to a reduction of…beta amyloid,” which is found in Alzheimer’s disease.
Financial Times reporter Clive Cookson writes that MIT researchers have found evidence that flashing lights could potentially be used as a noninvasive treatment for Alzheimer’s disease. The researchers found that “lights flashing on and off 40 times per second restored ‘gamma oscillation’ waves that were suppressed in the disease.”
MIT researchers have found that flashing light may reduce the buildup of beta amyloid protein in the brain, which is associated with Alzheimer’s disease, writes Michelle Roberts for the BBC News. The researchers hope that “clearing beta amyloid and stopping more plaques from forming could halt Alzheimer's and its symptoms.”
Writing for The Atlantic, Ed Yong spotlights a study by MIT researchers that identifies a potential new treatment for Alzheimer’s – using pulses of light to stimulate brain waves. Yong writes that the study “heralds a completely new approach to dealing with Alzheimer’s—changing neural activity, rather than delivering drugs or chemicals.”