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Graduate students Mohammad Ghassemi and Tuka Al Hanai write for Salon about an app they developed aimed at connecting people from different backgrounds. Ghassemi and Al Hanai note that about a third of the app’s users “report having made a lasting friend, someone they keep in touch with regularly.”
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.”
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."
Steven Melendez of NBC News writes that a new system developed by CSAIL researchers can predict the future by examining a photograph. Grad student Carl Vondrick explains that the system’s ability to forecast normal behavior could allow it to be used for applications like self-driving cars.
MIT researchers have created a self-driving scooter that can be used both indoors and outdoors, reports Siyi Chen for Quartz. The scooter will “slow down or stop in order to calibrate a new route” when faced with an obstacle, explains Chen.
Stephanie Mlot reports for FOX News that MIT researchers have developed a new portable system that can monitor energy usage, and could be useful for both residential and military applications. The system could “not only generate major savings in fuel or power,” Mlot writes, “but it may also safeguard soldiers responsible for base resupply.”
In an article for Popular Science, Kate Baggaley speaks with Prof. Timothy Lu and postdoc César de la Fuente about strategies they are developing to tackle antibiotic resistance. Lu explains that researchers are attempting to develop an arsenal of treatments to “be able to come at the problem from a variety of different ways.”
New Scientist reporter Victoria Turk writes that MIT researchers have developed a system that can predict the future based off of a still image. Turk writes that the system could enable “an AI assistant to recognize when someone is about to fall, or help a self-driving car foresee an accident.”
Wired reporter Brian Barrett writes that MIT researchers have developed a new system that allows virtual reality headsets to operate wirelessly. The system uses “millimeter wave (mm wave) technology, a large band of spectrum whose potential has gone largely untapped,” Barrett explains.
In this WCVB segment, CSAIL postdocs Robert MacCurdy and Jeffrey Lipton explain their work developing a shock-absorbing material that could be used to help protect robots and smartphones, or in helmets. Liquid is used in the material to “absorb the energy and keep it inside,” Lipton explains.
Hal Hodson writes for New Scientist that MIT researchers have developed a system that allows virtual reality headsets to operate wirelessly. To solve the problem posed by sending vast amounts of data wirelessly, the researchers used a “different wireless technology called millimeter wave (mmWave), which is in a higher band of the frequency spectrum to that used by Wi-Fi.”
MIT researchers have developed a software system that allows scooters, cars and golf carts to operate autonomously, writes Dyllan Furness of Digital Trends. Prof. Daniela Rus explains that the system works both indoors and outdoors and “provides an end-to-end solution starting with the home or hospital room all the way to the destination.”