School of Science

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.”

“Groundbreaking researcher,” Margaret Hamilton, “whose code helped land NASA’s Apollo astronauts on the moon to win the 20th-century space race has died,” reports CNN’s Jackie Wattles. “Through her work, Hamilton is also credited as one of the founders of the field of software engineering — a term she coined — by helping to establish it as a professional practice,” writes Wattles.  

The Guardian’s Uwa Ede-Osifo spotlights the life and legacy of the late Margaret Hamilton, “the computer pioneer whose software powered the first moon landing,” at MIT’s Instrumentation Lab. Prior to the Instrumentation Lab, Hamilton worked “on the software that could detect enemy aircraft,” at MIT’s Lincoln Laboratory,” writes Ede-Osifo. “When the institute received a Nasa contract to develop the Apollo onboard flight software, she jumped at the opportunity.”  

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. 

Joe Romm ‘82, PhD ‘87, “a physicist by training who became one of the most influential voices in the debate over climate change and how to stop it, using his blog to provide deep-dive insights and sharp-elbowed critiques,” died on Sept. 14, reports Clay Risen for The New York Times. “There’s nobody else like Joe Romm,” says Michael Mann, Romm’s colleague at the Penn Center. “There’s nobody else who brought all of these interlocking talents and proclivities together in the way that he did. That gave him such a unique voice, and it’s a voice that we sorely could use today.” 

MIT researchers have found that the gravitational pull of a red dwarf star is “siphoning material” from a brown dwarf star 300 to 500 light-years from Earth, writes reporter Will Dunham for Reuters. “This is the first observed example of this phenomenon,” says graduate student Aaron Householder. “The two objects are so close together that the entire orbit would fit inside the sun.” 

MIT astronomers have discovered a “star slowly and steadily consuming material from another low-mass object,” writes Catherine Stoddard for Fox News. “At the rate which the star is feeding, it’ll take likely hundreds of thousands, or maybe even billions of years for it to completely consume its nearby neighbor,” notes Stoddard.  

MIT researchers have discovered “a red dwarf [star] slowly and steadily consuming its orbital object, a brown dwarf [star],” in a process that could continue for millions of years, writes reporter Mary Randolph for the Scientific American. The discovery was “a happy accident,” says graduate student Aaron Householder. “We’re excited to see if we can find a star eating a planet or maybe even two planets eating each other—different types of combinations of these objects.”  

For Fortune, reporter Barry Werth highlights the groundbreaking research of the late Prof. David Baltimore, founding director of the Whitehead Institute at MIT, who “independently discovered an enzyme essential for the reproduction of retroviruses such as HIV, which spread by inserting their genes into the DNA of host cells and hijacking the cells’ chemical machinery to make copies of themselves.” “Few investigators were more qualified or better positioned to understand how to stop HIV from spreading,” writes Werth.  

Prof. Max Tegmark joins Fox Business's “The Claman Countdown,” to discuss warning lawmakers about the risks of rogue AI at the “Pro-Human Assembly” in Washington. “It’s very obvious that if you make these things [AI] vastly smarter than humans in the next few years, give them robotic bodies, have millions and billions of them all over earth, and don’t understand how they work, we could lose control over them. So, let’s not do that,” says Tegmark. “We have very clear ideas for how we can control AI that cures cancer and [fuels] all sorts of other powerful tools. We want to build tools, not beings that are going to replace us.” 

Prof. Max Tegmark speaks to Fox Business about the need for government regulations on AI. AI agents “have goals; they’re actively pursuing them and being incredibly creative about getting things done, even if it wasn’t the way you wanted,” says Tegmark. “Put that together with robotic bodies, and you’ve got yourself a species. If they’re vastly smarter than us, which is the goal of these companies, then they can not only do hacking, they can go online and hire a bunch of humans to work for them.”  

The 2003 Cohn-Elkies method “for finding upper bounds on the density of sphere packings,” established by MIT Prof. Henry Cohn and Harvard University’s Noam Elkies, is highlighted by Jack Murtagh for the Scientific American. “Their recipe is almost mechanical: come up with a mathematical function, feed the function into their method, and an upper bound pops out,” writes Murtagh. “They provided the field with a machine: identify the right inputs, churn it through their method, and a breakthrough in sphere packing might emerge.” 

Prof. Shafi Goldwasser and Prof. Vinod Vaikuntanathan founded the Institute for Responsible Superintelligence (RESI), “to develop mathematical principles and protocols to ensure AI models behave as intended,” writes Aaron Pressman for The Boston Globe. “You patch them [AI models] up, you test them, you patch them to make sure that they can perform to the best ability, but also not do damage,” says Goldwasser. “That’s probably not enough attention, given the fact that these things are going to become what we call super intelligent.” 

Good Owners-dogGPT, a chatbot guide designed for dog parents that wasco-founded by alumni Darin Bellisario PhD ‘15 and Raja Rajcic ’20, is featured by The Boston Globe’s Marcela García. “What happens today when [dog owners] go looking for information? They go to Google,” says Bellisario. “You find dozens of videos and blog posts and articles that are either contradictory or outdated or inaccurate, or whatever the algorithm or the ranking wants to show you.” 

The Boston Globe’s Hiawatha Bray spotlights Prof. Max Tegmark speaking at the “Pro-Human Assembly” in Washington, an event advocating for government regulations on AI, sponsored by Tegmark’s Future of Life Institute. “We are here today because we know that what’s up next is a fork in the road,” said Tegmark at the assembly. “We know that the future of AI is not inevitable. It is for us to decide.”