Guardian reporter Alison Flood explores the new technique created by MIT researchers to virtually unseal an unopened letter written in 1697. The researchers, “worked with X-ray microtomography scans of the letter, which use X-rays to see inside the document, slice by slice, and create a 3D image,” writes Flood.
Jana Dambrogio, the Thomas F. Peterson Conservator at MIT Libraries, describes the new technique developed by researchers at MIT and other institutions that has allowed for the virtual exploration of a letter that has been sealed since 1697. “It's quite beautiful and it's thrilling that we can read it without tampering with the letter packet, leaving it to study as an unopened object,” says Dambrogio.
Researchers from MIT and other institutions have developed a new virtual-reality technique that has allowed them to unearth the contents of letters written hundreds of years ago, without opening them, writes New York Times reporter William J. Broad. “The new technique could open a window into the long history of communications security,” writes Broad. “And by unlocking private intimacies, it could aid researchers studying stories concealed in fragile pages found in archives all over the world.”
Using X-ray imaging and algorithms, MIT researchers have been able to virtually open and read letters that been sealed for more than 300 years, writes Priti Parikh for New Scientist. “Studying folding and tucking patterns in historic letters allows us to understand technologies used to communicate,” says Jana Dambrogio, a conservator at the MIT Libraries.
Researchers from MIT and other institutions have used algorithms and an X-ray scanner to decipher the secrets inside a letter that has been sealed since 1697, reports Sara Castellanos for The Wall Street Journal. “This is a dream come true in the field of conservation,” said Jana Dambrogio, the Thomas F. Peterson Conservator at MIT Libraries.
Prof. Jessika Trancik speaks with The Hill reporter Rachel Frazin about her research that demonstrates people can save more than 30% in emissions by switching to electric vehicles. “One can see an immediate reduction in greenhouse gas emissions, even with today’s power grid and today’s power supply. It’s a really important step to electrify as many vehicles as possible, and quickly,” says Trancik.
Wall Street Journal reporter Dieter Holger spotlights the MIT Climate and Sustainability Consortium. Holger notes that in January “IBM joined a dozen other companies—including Apple Inc., Verizon Communications Inc. and Boeing Co. —as the inaugural members of the MIT Climate and Sustainability Consortium to develop technologies to combat climate change.”
In this video, Mashable spotlights how MIT researchers have developed a new system that can 3-D print objects without human intervention. “The system works thanks to a software toolkit that lets you design custom blueprints,” Mashable explains.
CSAIL researchers have developed a new system, dubbed LaserFactory, that can print custom devices and robots without human intervention, reports Brian Heater for TechCrunch. “The system is comprised of a software kit and hardware platform designed to create structures and assemble circuitry and sensors for the machine,” Heater writes.
UPI reporter Brooks Hays writes that MIT researchers have developed a new machine learning algorithm that can anticipate and recognize a protein’s varied structures. “The new AI-system,” writes Hays, “does more than image a diversity of conformations, it can also predict the varied motions of different protein structures.”
Prof. Jessika Trancik speaks with Jesse Remedios of WBUR about her new study that identifies locations where electric vehicle charging stations would have the most impact and help increase the adoption of electric vehicles. “It's important to make sure that chargers are placed where people can charge without having to delay their activities,” Trancik says.
New York Times reporter Brad Plumer spotlights a new study by Prof. Jessika Trancik that finds “new chargers on residential streets, as well as high-speed charging stations along highways, would go a long way to supporting an electric-vehicle boom.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new “liquid” machine learning system that can learn on the job. Etherington notes that the system has “the potential to greatly expand the flexibility of AI technology after the training phase, when they’re engaged in the actual practical inference work done in the field.”
Wired reporter Will Knight spotlights how MIT researchers built a machine learning system that can help predict which patients are most likely to develop breast cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” says Constance Lehman, a professor of radiology at Harvard Medical School and division chief of breast imaging at MGH.
Mashable reporter Sasha Lekach spotlights a new study by MIT researchers that finds installing more charging stations close to residences and in locations that match where people naturally stop, would help increase usage of electric vehicles. The researchers found that “this helps to make charging more accessible while drivers are going about everyday activities.”