Computer Science and Artificial Intelligence Laboratory (CSAIL)

CSAIL researchers have discovered that some traffic jams are caused by tailgating, writes Thomas Tamblyn for HuffPost. Maintaining an equal distance in front of and behind a vehicle, “could have a dramatic effect in reducing travel time and fuel consumption without having to build more roads or make other changes to infrastructure,” explains Prof. Berthold Horn. 

Forbes reporter Laurie Winkless writes that MIT researchers have found that if drivers maintained fixed distances between the cars in front of and behind them they would be able to reduce traffic jams. “We humans tend to view the world in terms of what’s ahead of us, so it might seem counter-intuitive to look backwards,” explains Prof. Berthold Horn.

CNN reporter Matt McFarland writes that CSAIL researchers have proposed that outfitting cars with cruise control systems that maintain equal distances between cars could help alleviate phantom traffic jams. The researchers’ simulations showed, “keeping the same distance between the vehicle in front and the vehicle trailing a car prevents traffic jams.”

CSAIL researchers have found that if drivers could maintain an equal distance between cars they would be able to reduce the number of traffic jams, reports Matt Burgess for Wired. The researchers found that, “by adding sensors to the back of cars that take into account the speed of following vehicles, it will be possible to better regulate traffic.”

In a Boston Globe Magazine article about bioelectronic medicine, writer Jessie Scanlon highlights research by Profs. Ed Boyden and Daniela Rus. Boyden notes that by creating light-sensitive molecules, which can be switched on and off and inserted into neurons, “groups in academia and industry are using the tool to discover patterns of neural activity.”

Merrit Kennedy reports for NPR that MIT researchers have developed robotic artificial muscles that can lift 1,000 times their own weight. Prof. Daniela Rus explains that the technology could eventually be used to bring "soft strong mobility to people who are otherwise unable to move."

HuffPost reporter Thomas Tamblyn writes that MIT and Harvard researchers have created a range of origami-inspired robotic muscles. “These ultra-flexible materials could be applied to everything from deep-sea robotics to creating tiny yet incredibly strong tools for performing surgery,” Tamblyn explains. 

Researchers from MIT and Harvard have developed a new origami-inspired artificial muscle that can lift up to a thousand times its own weight, reports Amina Khan for The Los Angeles Times. Khan explains that the robotic muscles, “offer a new way to give soft robots super-strength, which could be used everywhere from inside our bodies to outer space.”

PRI The World’s Lydia Emmanouilidou spotlights a virtual reality exhibit at the MIT Museum by photojournalist Karim Ben Khelifa that allows visitors to explore both sides of international conflicts. “What is the point of images of war if they don’t change people’s attitudes towards armed conflicts, violence and the suffering they produce?” says Khelifa of the inspiration for his work. 

Research affiliate Sam Ford has enlisted colleagues at MIT and USC, including Prof. Daniela Rus, to participate in his Future of Work Initiative, writes Jeff Howe in The Boston Globe. The group is trying to better understand how technology is impacting the job market in Kentucky and determine how to provide more useful solutions to those affected.  

In an article published by The Wall Street Journal about the future of programmable materials, Kelly and Zach Weinersmith highlight Prof. Daniela Rus’ work developing “origami bots that can shape themselves into tools to perform medical procedures or deliver drugs inside the body.”

WGBH’s Craig LeMoult reports on the future of work conference held at MIT this week, which examined how automation may impact the labor market. Prof. Erik Brynjolfsson explained that, “we're using technologies to augment not just our muscles but our brains, allowing us to control the world and make them figure things out more effectively.”

In a WBUR segment about how technology is increasingly being used to assist seniors and caregivers, Rachel Zimmerman highlights Rendever, an MIT spinout, and speaks with Prof. Paul Osterman, Prof. Dina Katabi and Dr. Joseph Coughlin about their work. Zimmerman explains that Coughlin believes “a mix of smart devices and other personal services,” will help people age well.

Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.

During an appearance on WGBH’s Greater Boston, Prof. Regina Barzilay speaks with Jim Braude about her research and the experience of winning a MacArthur grant. Barzilay explains that the techniques she and her colleagues are developing to apply machine learning to medicine, “can be applied to many other areas. In fact, we have started collaborating and expanding.”