Researchers from MIT CSAIL have developed an algorithm that allows drones to navigate obstacle courses, reports Kelsey Atherton for Popular Science. “As drones move away from simple remote-controlled toys and become more autonomous flying tools, programs like these will keep them flying safely through unfamiliar terrain,” explains Atherton.
BBC News reporter David Gibson writes that MIT researchers have developed a thin, transparent film that can store solar energy for later use. Gibson writes that the polymer could be used to de-ice windshields, “heat seats and steering wheels, or even let you solar charge your socks before a motorcycle ride.”
MIT researchers have developed an algorithm that could reduce how long planes wait before takeoff, reports Lee Moran for The Huffington Post. The formula allows air traffic controllers to use data on weather conditions and runway traffic to “hold airplanes at the gate, which would help avoid congestion.”
Research affiliate Judah Cohen speaks with Boston Herald reporter Erin Smith about his predictions for how much snow Boston might see this winter. “I think there will be a snowier second half of winter. That’s still very plausible,” says Cohen. “But matching anything like last year it would be difficult — near impossible.”
MIT researchers have created artificial replicas of the fur that keeps fur seals and sea otters warm in cold water to see how those hairs act as insulators, reports Charles Choi for Popular Science. The researchers found that “the longer and more closely spaced hairs were, the better that surfaces were at trapping air and staying dry.”
Popular Science reporter Mary Beth Griggs writes that MIT researchers are developing a more efficient incandescent light bulb. Griggs explains that the prototype “is already as energy efficient as some LEDs and fluorescent bulbs currently on the market.”
In an article for The Washington Post about robots and humans, Wendell Wallach highlights Prof. David Mindell’s book “Our Robots, Ourselves.” “Mindell clearly demonstrates that the efforts of people and robots can be complementary and inextricably entangled, and can evolve together,” writes Wallach.
Cade Metz writes for Wired that MIT researchers have developed a system that allows robots to predict how objects will move. Postdoc Ilker Yildirim explains that in order for a robot to be able to assist with household tasks like washing the dishes, it must “deeply understand its physical environments.”
In an article for The Wall Street Journal, Jo Craven McGinty highlights a study by researchers from MIT and Harvard that calculated the damage caused by Volkwagen cheating on emissions standards tests. “We estimated the vehicles affected were driven 40.5 billion kilometers from 2008,” explains Prof. Steven Barrett.
Fortune reporter Hilary Brueck writes that MIT researchers have developed a new flexible battery that can harness energy from a range of motions, including walking. Brueck explains that the “bendy battery works best with normal, human-scale activity, like walking, poking, and bending.”
MIT researchers have developed a microscope that can generate close to real-time images on nanoscale processes, reports Kevin Hartnett for The Boston Globe. The microscope allows “microscopic worlds that had appeared static suddenly leap into motion,” Hartnett explains.
Boston.com reporter Eric Levenson writes that MIT researchers have developed a polymer material capable of storing solar energy and releasing it later as heat. The “polymer being developed would store the sun’s rays in a chemical reaction that is then converted into heat,” explains Levenson.
MIT computer scientists have developed a program that can predict how objects will move with the same accuracy as humans, reports Mary Beth Griggs for Popular Science. The researchers hope to eventually be able to program the system to “make predictions in the natural world even faster than we can.”
An AI system created by MIT researchers can predict how physical objects move through the world with human-like accuracy, reports Curt Woodward for BetaBoston. “Where humans learn to make such judgments intuitively, we essentially had to teach the system each of these properties,” explains postdoc Ilker Yildirim.
MIT researchers have created an algorithm that can identify what traits make an image memorable, reports Matt McFarland for The Washington Post. The algorithm could prove useful in developing educational tools as “textbooks and teaching aids could start to use visual aids that have been proven to stick in our heads,” McFarland explains.