Skip to content ↓

In the Media

Displaying 15 news clips on page 1

Bloomberg

In an interview with Bloomberg, Prof. Justin Solomon discusses how mathematicians are responding to advances in AI in the wake of an AI platform solving the Navier-Stokes problem. “The really interesting part [of proof writing] is the modeling and figuring out which questions to ask and what insights they bring us to the universe, and the AI tools are not doing that,” says Solomon. “Writing the prompts is very much what we’ve been teaching our students to do for centuries now, and that skill, I think, persists.” 

Scientific American

Prof. Virginia Vassilevska Williams speaks to the Scientific American’s Peter Hall and Joseph Howlett about AI assisting in faster matrix multiplications. “Matrix multiplication is needed all over the place,” says Williams. “But also, its complexity is one of the great mysteries in computer science. In a maybe diabolical sense, the advance on matrix multiplication can be seen as an attempt by the LLMs to speed themselves up.”  

The New York Times

The New York Times’ Siobhan Roberts highlights Prof. Frank Wilczek’s 1973 discovery of asymptotic freedom, a physical property that “allowed physicists to better understand the nuclear force,” according to Edward Witten at the Institute for Advanced Study, that may help solve the Yang-Mills Millennium Prize Problem. The discovery “indicated that proving the existence of quantum Yang-Mills theory in four-dimensional spacetime was central to understanding the mathematical framework of modern subatomic physics.”  

Science/AAAS

Using prime editing, Prof. Jonathan Weissman led a team of MIT researchers that “built lineage maps for embryos between 7.5 days and 10 days old,” writes Science’s Mitch Leslie. “The ultimate goal,” writes Leslie, “a family tree tracing the ancestry of every cell in the mammalian body, could help researchers delve into how organs arise, probe the origins of birth defects, grow better replacement cells for patients, and study evolution.” 

Financial Times

Hertha Metals, a startup founded by alumna Laureen Meroueh SM ’18, PhD ’20, “has developed a way to produce high-purity iron needed in the magnets used in everything from electric vehicles to humanoid robots,” writes reporter Stephanie Findlay for the Financial Times. “Hertha is breaking ground on a 10,000-tonne-a-year commercial facility today on the outskirts of Houston to produce the metal,” Findlay highlights. “The company plans to produce the first steel-grade iron in the fourth quarter of next year and start producing the high-purity iron by 2028.” 

The New York Times

For The New York Times, reporters Carolyn Y. Johnson and Kenneth Chang spotlight the late computer scientist Margaret Hamilton and her role in the development of the field of software engineering, highlighting her work as a “trailblazing woman who played a crucial, largely unseen role.” MIT Presidential Advisor Maria Zuber shared: “When you see someone like her who went for it and lived her dream it makes it a little easier for the rest of us to dare to reach for the moon as well.” 

The Boston Globe

Margaret Hamilton, who developed the software that helped the Apollo 11 mission land safely on the moon and “whose historic accomplishments focused attention on the work of software engineers,” died on Sept. 30, reports Bryan Marquard for The Boston Globe. “She gave me, from the get-go, this notion that I could do anything, that there were absolutely no gender barriers,” says Hamilton’s daughter, Lauren. Hamilton’s life and work conveyed to her great-granddaughters “that very clear idea that they could have whatever future they wanted to create for themselves.” 

Smithsonian Magazine

Margaret Hamilton, “best known for her major contributions to the Apollo missions” at MIT’s Instrumentation Lab, “died on Sept. 30 at age 90, leaving behind a trailblazing legacy of problem-solving and entrepreneurship that paved the way for a new branch of computer science and engineering,” writes reporter Margherita Bassi for Smithsonian Magazine. Hamilton’s “coding foresight and prowess really made that mission a success,” says Smithsonian National Air and Space Museum’s Andrew Meade McGee. “She created the logical software basis for many of the critical systems we use to maintain our infrastructure today, and that silently power today’s modern aerospace world.” 

The Washington Post

The Washington Post’s Juno Carmel details how the late Margaret Hamilton “developed early computer software that helped pave the way for the digital world as we know it today” and led the team at MIT’s Instrumentation Lab that programmed the alarm code that played a crucial role in the Apollo 11 mission. Hamilton “was the lead developer for the software that powered the Apollo guidance computer, which weighed 70 pounds but had only 72 kilobytes of memory, a fraction of today’s smartphones,” notes Carmel. 

MassLive

MassLive’s Liesel Nygard spotlights the late Margaret Hamilton, “a pioneering computer scientist who helped establish the field of software engineering and led the MIT team that developed the onboard flight software for NASA’s Apollo moon missions.” Nygard writes, “Thanks to priority-driven ‘defensive’ software [in the lunar module’s computers] engineered by Hamilton and her team, the system automatically shut down unnecessary background tasks to focus on the landing, avoiding an emergency abort [of the Apollo 11 mission].”  

The Wall Street Journal

Prof. John Urschel speaks with Wall Street Journal reporter Andrew Beaton about his career in mathematics, from his time as an NFL lineman to the publication of his latest research, which proves a “decades-old mathematical conjecture.” “I feel like I bet on myself in a big way,” Urschel says. “I’m living my best life right now.”  

Smithsonian Magazine

In an interview with Smithsonian Magazine’s Diane Tedeschi, alumnus Mike Massimino SM ’88, PhD ’92 discusses working on NASA’s space shuttle as a mission specialist and repairing the Hubble Space Telescope. “Nothing can really prepare you, though, for the overwhelming beauty that you see—the emotion of it [space],” says Massimino. “When you see the beauty of Earth and the stars and the Moon and everything around you, it’s so inspiring. But as far as your job goes, you’re 100-percent ready.”  

WCVB

Chris Cassidy SM ’00, who “flew three space missions, commanded the International Space Station, and earned multiple combat awards for his service in Afghanistan,” moderated the USS Constitution Museum's Leadership Forum on Oct. 8, reports WCVB 5. “Cassidy served as NASA’s Chief Astronaut, accumulating 378 days in space, more than 54 hours across 10 spacewalks.”  

The Washington Post

Prof. John Urschel found that the Gaussian elimination algorithm, used to calculate shared solutions to a group of equations, specifically linear equations, is close to 100 percent reliable, writes reporter Miriam Waldvogel for The Washington Post. “It just seems so interesting that the most fundamental algorithm we have in the field, we do not fully understand,” says Urschel. “I really love this question of why versus how, and this idea of understanding what’s going on.” Remarking on his previous career as an NFL player, he shares: “If a student thinks that’s cool and [it] gets them to come take my class, and they learn a lot of cool, numerical math, that sounds great to me.”

The New York Times

Margaret Hamilton, “who led the 100-person team [at MIT’s Instrumentation Lab] that wrote the onboard software for the Apollo missions, guiding Neil Armstrong and Buzz Aldrin to a safe landing on the moon,” died on Sept. 30, reports Trip Gabriel for The New York Times. “Her skills led to her promotion to director of software engineering on the project, which developed the two 70-pound onboard computers for the Apollo flights: one in the command module, which carried the astronauts from Earth, and the second in the lunar module, which set down on the moon’s surface,” writes Gabriel.