Nidhi Subbaraman writes for BetaBoston about “Cambridge 2 Cambridge,” an international cybersecurity challenge that will take place this spring between researchers from MIT CSAIL and the University of Cambridge. Prof. Howard Shrobe explained that the contest will take the form of a virtual “capture the flag” contest.
Prof. Edward Boyden speaks with Boston Globe reporter Murray Carpenter about how scientists need more powerful computers to help gain a better understanding of brain function. “The cool part of neuroengineering is that we have all these unmet needs,” Boyden says. “I think there is an enormous amount of hope generated by bringing new tools into neuroscience.”
Wall Street Journal reporter Alexandra Wolfe profiles Prof. Cynthia Breazeal and examines her latest work developing a robot, dubbed Jibo, that can assist humans with daily tasks and serve as a companion. “I’m really thinking about social robots as an extender of our human capacity,” Breazeal explains.
Boston Magazine reporter Kyle Clauss reports that researchers from MIT CSAIL have developed a drone that uses algorithms to detect obstacle-free regions in space. “Using free-space segments is a more ‘glass-half-full’ approach that works far better for drones in small, cluttered spaces,” says MIT alumnus Benoit Landry.
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.
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.”
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.”
Boston Magazine reporter Madeline Bilis writes about the Reality Editor, an application developed by researchers from the MIT Media Lab. “Users can ‘edit reality’ by drawing virtual lines to and from objects with their smartphone’s camera to alter their uses and capabilities,” Bilis explains.
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.
MIT researchers are developing a new computer chip to increase efficiency and decrease the carbon footprint of cloud computing, reports Daniela Hernandez for The Huffington Post. Hernandez explains that the chip “uses light, instead of electricity, as the highway for information.”
In an article for The Washington Post about artificial intelligence, Joel Achenbach speaks with MIT researchers about the future of the field. Speaking about the current state of AI, Prof. Daniela Rus explains that “there are tasks that are very easy for humans — clearing your dinner table, loading the dishwasher, cleaning up your house — that are surprisingly difficult for machines.”
MIT researchers have developed an algorithm that can predict the memorability of images with human-like accuracy, reports Adrienne Lafrance for The Atlantic. The researchers explained that their work demonstrates that “predicting human cognitive abilities is within reach for the field of computer vision.”
Scott Eisen of the Associated Press explores a new motion-tracking device developed by MIT researchers that can detect movement using wireless signals. "It's a sensor that can monitor people and allow you to control devices just by pointing at them," explains graduate student Fadel Adib.