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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.
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.”
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.
The Climate Modeling Alliance (CliMA), which includes a number of MIT researchers, is working on developing a new climate model that could be used to create more accurate climate predications that could be useful at the local or regional levels, reports Doug Struck for The Christian Science Monitor. “It’s always a mistake to say that you shouldn’t try something new,” says Prof. Raffaele Ferrari. “Because that’s how you change the world.”
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new system that devises hardware architecture that can speed up a robot’s operations. Etherington notes that “this research could help unlock the sci-fi future of humans and robots living in integrated harmony.”
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.”
Forbes contributor Adi Gaskell highlights a new study by CSAIL researchers that underscores the importance of foreign-born scientists when it comes to breakthroughs in AI. The researchers noted that “If we want the United States to continue to be ground zero for computer science, we need to make sure that our policies make it easy to continue to bring host international researchers to join our institutions.”
Prof. James Collins speaks with Boston 25 reporter Julianne Lima about the growing issue of antibiotic resistant bacteria and his work using AI to identify new antibiotics. Collins explains that a new platform he developed with Prof. Regina Barzilay uncovered “a host of new antibiotics including one that we call halicin that has remarkable activity against multi drug-resistant pathogens.”