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Abigail Beall of New Scientist writes that MIT researchers have developed an algorithm that can trick an AI system, highlighting potential weaknesses in new image-recognition technologies used in everything from self-driving cars to facial recognition systems. “If a driverless car failed to spot a pedestrian or a security camera misidentified a gun the consequences could be incredibly serious.”
CSAIL researchers have tricked a machine-learning algorithm into misidentifying an object, reports Louise Matsakis for Wired. The research, “demonstrates that attackers could potentially create adversarial examples that can trip up commercial AI systems,” explains Matsakis.
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.”
MIT spinout Ginkgo Bioworks has not only maintained its founding members, but also recently raised $275 million from investors, writes Matthew Herper for Forbes. Herper predicts that excitement surrounding synthetic biology companies will continue because “private money is getting excited about the idea of designing biology.”
MIT researchers have developed a new technique to 3-D print genetically engineered bacteria into a variety of shapes and forms, reports Karen Hao for Quartz. The technique could eventually be used to develop such devices as, “an ingestible living robot that secretes the correct drug when it detects a tumor.”
MIT engineers have developed a method to 3-D print living cells into tattoos and 3-D structures, reports Danny Paez for Inverse. Paez explains that the researchers believe the technique, “could possibly be used to create a ‘living computer,’ or a structure made up of living cells that can do the stuff your laptop can.”
Co.Design reporter Katharine Schwab writes that MIT researchers have developed a tattoo made of living cells that activate when exposed to different kinds of stimuli. Schwab explains that in the future the tattoos could be designed, “so that they respond to environmental pollutants or changes in temperature.”
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."
Writing for Fortune, Jamie Ducharme details how researchers from MIT and Harvard are one step closer to creating robots with superpowers, thanks to a new robotic artificial muscle they have developed. The new technology could be used, “in arenas ranging from medicine to architecture to space exploration,” Ducharme explains.
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.”
Prof. Timothy Lu speaks with STAT reporter Eric Boodman about his work trying to harness bacteria to treat disease. Lu notes that his lab is also currently working on, “building these genetic circuits for therapeutic applications, but instead of targeting bacteria, we’ve been focused on using human cells.”