Boston.com reporter Erica Yee highlights several Boston-area residents who were named to Forbes’ “30 under 30” list, including MIT postdoctoral associate Yichen Shen, who was honored for his work with nanophotonic breakthroughs, and undergraduate Jenny Xu, who was recognized for her work creating popular mobile games.
In a letter to The Financial Times, Prof. Jessika Trancik, postdoc Geoffrey Supran, and graduate student Marco Miotti clarify results from a study the lab released last year that compares emissions of gas and electric vehicles. “Not only do electric cars usually emit less than petrol ones already, but over time, as the carbon footprint of electricity continues to fall, that gap will widen,” the researchers explain.
Prof. Michael Strano has developed “a sensor that can be “printed” onto a plant’s leaf and transmit data from the plant itself about if it’s experiencing water stress,” writes Kristin Toussaint for metro.
Martin Finucane of The Boston Globe reports that MIT researchers are developing a method to allow oil and water to mix. Using a combination of a surfactant and condensation, “tiny water droplets form on the surface that sink into the oil and stay mixed for months, rather than separating in just a few minutes,” explains Finucane.
Kate Baggaley of NBC News highlights a team of MIT researchers who have developed a computer model to explain how albatrosses fly so efficiently. “Unlike other birds that flap their wings frequently, the albatross rides the wind,” which researchers are hoping to duplicate as they attempt to create drones that fly by harnessing power from the wind and sun, she explains.
MIT researchers have developed a new sensor that can be applied to the leaf of a plant and could be used to help predict droughts, reports Alyssa Meyers for The Boston Globe. Prof. Michael Strano explains that in the future, “One of the most useful ways of using this sensor is to design more stress-tolerant crops.”
Sara Clemence writes for Bloomberg that MIT is working with Lamborghini on developing a new electric supercar. Working with two labs at MIT, Lamorghini plans to essentially turn the car into a battery by making “supercapacitors out of carbon fiber panels that can be used to form the body of the car,” explains Clemence.
Prof. Yossi Sheffi writes for The Wall Street Journal that students should be learning soft skills such as communications, leadership and teamwork, tools that are necessary for managing organizations and supply-chains successfully. Sheffi writes that, “professionals need to hone their ability to communicate with people working across a wide range of disciplines and a variety of geographies.”
MIT researchers have teamed up with Lamborghini to create an electric sports car, reports Jordan Graham for the Boston Herald. Graham explains that the research, could be used to, “make the cars lighter and make batteries out of carbon nanotubes. The batteries can be made in any shape, and could be designed to fit inside the car’s side panels.”
Researchers from MIT and Lamborghini have unveiled a new concept supercar incorporating futuristic design elements and new technologies, writes Nicole Wakelin for Boston.com. Led by Profs. Mircea Dinca and Anastasios John Hart, the teams are “focused on the development of energy storage systems and the use of innovative materials,” writes Wakelin.
CNN reporter Peter Valdes-Dapena writes that MIT researchers are working with Lamborghini to develop a battery-free, electric supercar. Valdes-Dapena explains that instead of running on batteries, the body of the car, which would be made from exotic carbon nanotubes, would be used as a supercapacitor.
Graduate student Anish Athalye speaks with the BBC about his work examining how image recognitions systems can be fooled. "More and more real-world systems are starting to incorporate neural networks, and it's a big concern that these systems may be possible to subvert or attack using adversarial examples,” Athalye explains.
New Scientist reporter Abigail Beale writes that MIT researchers have been able to trick an AI system into thinking an image of a turtle is a rifle. Beale writes that the results, “raise concerns about the accuracy of face recognition systems and the safety of driverless cars, for example.”
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.”
Guardian reporter Alex Hern writes that in a new paper MIT researchers demonstrated the concept of adversarial images, describing how they tricked an AI system into thinking an image of a turtle was an image of a gun. The researchers explained that their work “demonstrates that adversarial examples are a significantly larger problem in real world systems than previously thought.”