Electrical engineering and computer science (EECS)

A new imaging technique created by researchers from MIT and other institutions has been used to shed light on the contents of an unopened letter from 1697, writes Matt Simon for Wired. “With fancy letterlocking techniques, you will forcibly rip some part of the paper, and then that will become detectable,” says Prof. Erik Demaine, of the method used to seal the letter.

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.

Bloomberg reporter Ashlee Vancee spotlights the work of alumnus Youyang Gu SB ’15, MEng’19, who developed a forecasting model for Covid-19 last spring that was widely considered to be one of the most accurate models of the pandemic’s trajectory. “The novel, sophisticated twist of Gu’s model came from his use of machine learning algorithms to hone his figures,” writes Vancee.

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.”

Second-year student Darren Lim speaks with KUOW about his work developing a website aimed at making it easier for Washington state residents to book appointment for Covid-19 vaccines. The website “shows which providers in Washington state have vaccines available, and then allows you to click through to their websites to make an appointment.”

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.

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.

New York Times reporter Steve Lohr spotlights Inrupt, an MIT startup founded by Prof. Tim Berners-Lee, which is aimed at providing people more control over their personal data. “Tim has become increasingly concerned as power in the digital world is weighted against the individual,” explains Daniel Weitzner, a principal research scientist at CSAIL. 

In an article for The Boston Globe, Scott Kirsner spotlights Inrupt, an MIT startup that has developed new technology that “proposes a major change in how personal data are stored that would give you much more control.”

Axios reporter Bryan Walsh spotlights a new study by researchers from MIT’s Task Force on the Work of the Future that examines the impact of AI on the future of work. Walsh notes that the report’s authors “recommend programs that can enhance computer skills from kindergarten through the university level, while urging businesses and worker organizations to build cushions for the sometimes harsh changes AI will wreak on work.”
 

Writing for Wired, Will Knight spotlights how MIT researchers developed a new technique to squeeze an AI vision algorithm onto a low-power computer chip that can run for months on a battery. The advance “could help bring more advanced AI capabilities, like image and voice recognition, to home appliances and wearable devices, along with medical gadgets and industrial sensors.”