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.”
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’ 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.”
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.”
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.”
With help from an artificial intelligence algorithm, MIT researchers have formulated heat-resistant mRNA COVID vaccines that “remain stable even when stored at room temperature for up to a year, or at nearly 100 degrees Fahrenheit for two months,” writes Nancy Lapid for Reuters. The heat resistance shots “would lower costs and make them [COVID vaccines] available in regions where ultra-cold storage is not possible,” Lapid notes.
Prof. Eric So joins Bloomberg’s “Businessweek Daily” to discuss his debut book “The Collision: What AI does to us,” which explores the intersection of AI and human cognition. “I think of AI as being a force multiplier, something that can really make us productive, but too often people are focused on just really the capability enhancements of AI without thinking about the other side of the ledger which is: ‘what is it taking from us in that exchange,’” says So. “It matters how we go about using the tool.”
“Structured around key stages in psychological development — childhood, adolescence, love, work, [and] death,” Prof. Sherry Turkle’s latest book, “Artificial Intimacy: Who We Become When We Talk to Machines,” “argues strongly that our new ‘posthuman conversational partners’ [AI chatbots] are inadequate companions for life’s journey,” writes reporter Becky Hogge for the Financial Times. “The more we recognize our vulnerability to the virtual, the more we’ll be able to commit to the real,” explains Turkle. We need to “reinvent sociality.”
In a piece republished by Scientific American, reporter Manon Bischoff highlights MIT researchers proving in 2024, that “many newer games in the Super Mario series are mathematically maximally complex and therefore contain unsolvable problems.” “We don’t know how to prove that a game is fun,” says Prof. Erik Demaine, a co-author of the research. “But we can prove that it’s hard and that maybe gives some insight into why it’s fun.”
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.”
Prof. Frances Ross and Research Scientist Julian Klein speak with Physics reporter Akashni Raghubar Latchanna about an electron microscopy technique they developed to move atoms within a material, creating new possibilities for engineering electrical, optical, and quantum properties. “If we can control the electronic or optical functions of the materials, we might potentially make those devices more brain-like, more portable, and less power-hungry,” Ross said.
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.
Forbes’ Amit Sinha spotlights nearly 50 years of the RSA algorithm, “one of the most important practical implementations of public-key cryptography,” developed by Prof. Ronald Rivest and his colleagues Profs. Adi Shamir and Len Adleman. RSA turned public-key cryptography “into a practical method for secure communication between parties who had never met and shared no prior secret,” notes Sinha. “It also made digital signatures practical, enabling identity verification and authentication across open networks.”
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.”
On Slate’s “What Next: TBD” podcast, Prof. Sherry Turkle explains the current “state of emergency” brought on by humans seeking connection with AI chatbots, detailed in her latest book “Artificial Intimacy: Who We Become When We Talk to Machines.” In conversations with chatbots “empathy is undermined and our capacity for relationships with other people is undermined,” says Turkle. “It’s an emergency because empathy and our capacity for relationships with other people is what makes us human, and you can’t just have that deteriorated.”