In a Vox article about the increasing scalability of solar photovoltaic power, David Roberts highlights solar cells developed by Prof. Vladimir Bulovic. The solar cells are, “so small and light they could sit atop a soap bubble without popping it,” explains Roberts.
Tony Dokoupil of CBS This Morning visits MIT to learn more about how researchers are working on developing robots that will improve our daily lives. Dokoupil highlights how researchers are, “perfecting the material for a new breed of robot – one that's light and flexible,” adding that the researchers hope, “we'll be able to wear the robot like Tony Stark in ‘Iron Man’."
Reuters Video visits MIT to learn more about how researchers have developed a new robot, dubbed Jackal, which can navigate pedestrian traffic. Graduate student Michael Everett explains that the robot was designed to operate, “just like people do, so [it] fits in with the flow of traffic.”
In this PBS NewsHour article and video, Nsikan Akpan spotlights Prof. Paulo Lozano’s work developing tiny satellites equipped with ion thrusters that could eventually help researchers explore asteroids or Mars. Prof. Kristina Lemmer of Western Michigan University notes that Lozano’s system, “is probably the frontrunner for the possibility for deep space missions.”
In this video, Reuters reporter Elly Park spotlights a new technique developed by MIT researchers to purify contaminated water. Park explains that the, “highly-selective process can even capture micropollutants, things that can exist in small, but potentially dangerous amounts in water.”
Fortune reporter David Morris writes that MIT researchers have tricked an artificial intelligence system into thinking that a photo of a machine gun was a helicopter. Morris explains that, “the research points towards potential vulnerabilities in the systems behind technology like self-driving cars, automated security screening systems, or facial-recognition tools.”
Boston Globe reporter Alex Kingsbury highlights how MIT researchers have developed a new technique that allows plants to glow in the dark. Kingsbury writes that, “In subsequent tests with watercress, arugula, kale, and spinach, the plants glowed for 3.5 hours. Researchers also figured out a way to turn off the glow during daylight hours.”
In an article for The Wall Street Journal, Visiting Lecturer Irving Wladawsky-Berger spotlights MIT’s AI and the Future of Work Conference. Wladawsky-Berger writes that participants, “generally agreed that AI will have a major impact on jobs and the very nature of work. But, for the most part, they viewed AI as mostly augmenting rather than replacing human capabilities.”
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.
Boston 25 News reports that MIT researchers have developed a new technique that allows plants to glow in the dark and could potentially be used in the future to transform them into sources of electricity. The researchers demonstrated the technique on several different types of plants, including kale, arugula, spinach, and watercress.
Prof. Michael Strano speaks with BBC News reporter Alan Kasujja about the technique his team developed to embed nanoparticles into a plant’s leaves so that it can glow in the dark. Strano explains that his team figured out, “how to control where these particles go inside the plant…We can put them right near the biochemical processes where photosynthesis occurs.”
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.
In this video, Reuters spotlights how MIT researchers have developed a new sensor that can be applied to plant leaves and can identify when a plant is experiencing a water shortage. Prof. Michael Strano explains that the sensor allows users to, “detect the onset of water stress long before the tissue starts to be harmed.”
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.