Woods Hole Film Festival will showcase “Cracking the Code: Phil Sharp and the Biotech Revolution,” a film highlighting Prof. Emeritus Phil Sharp’s academic journey and discovery of RNA splicing, reports Erin Trahan for WBUR. The festival runs from July 26 – August 2 in Falmouth, MA.
MIT researchers have developed Boltz-2, an AI algorithm “that unites protein folding and prediction of small-molecule binding affinity in one package,” reports Laura Howes for Chemical & Engineering News. “The researchers say their new AI model approaches the level of accuracy achieved by traditional computational chemistry—such as methods involving free-energy perturbation calculations—but much more quickly and cheaply,” explains Howes.
A study by researchers at MIT examines how the use of large language models impacts the human brain, reports Elizabeth Hlavinka for Salon. Research scientist Nataliya Kos'myna says the results “suggest large language models could affect our memory, attention and creativity.”
Kurt Knutsson of FOX News spotlights how MIT researchers have developed a new mobile robot, dubbed E-BAR, designed to help physically support the elderly and prevent falls at home. “What stands out about E-BAR is how it's designed with real people in mind, not just as a tech gadget,” Knutsson explains. “It's easy to see how something like this could make a big difference for seniors wanting to stay independent without feeling tied down by bulky or uncomfortable devices.”
Researchers at MIT and elsewhere have developed Boltz-2, an open-source generative AI model that can help researchers find new medicines faster, reports Alex Knapp for Forbes. The tool “can not only predict the structure of proteins, it can also predict its binding affinity–that is, how well a potential drug is able to interact with that protein,” explains Knapp. “This is crucial in the early stages of developing a new medicine.”
Postdoc Isabella Loaiza speaks with ABC News reporter Max Zahn about her study examining how jobs and tasks across the U.S. economy shifted between 2016-2024. Loaiza and her colleagues found that “rather than dispense with qualities like critical thinking and empathy, workplace technology heightened the need for workers who exhibit those attributes,” Zahn explains. “It is true we’re seeing AI having an impact on white-collar work instead of more blue-collar work,” says Loaiza. “We found that jobs that are very human-intensive are probably more robust.”
A study by researchers from the MIT AgeLab examines “how to reduce collisions between vehicles and pedestrians,” reports Ed Garsten for Forbes. The research looked at how vehicles and pedestrians “interact and communicate with each other, along with how automated systems and technology affect driver behavior.”
Prof. Yet-Ming Chiang and his colleagues have developed a sodium-air fuel cell that “packs three to four times more energy per pound than common lithium-ion batteries,” reports Aaron Pressman for The Boston Globe, which could serve as “a potentially groundbreaking clean power source for airplanes.” Pressman adds that: “Ultimately, a sodium-air fuel cell could power a regional jet carrying 50 to 100 passengers on flights as long as 300 miles.”
A study by Prof. Noelle Selin has found that climate change will impact our ability to curb smoke and smog pollutants, reports Vivian La for WBUR. The researchers “used computer models to predict how air pollution will develop in the Eastern United States over the next few decades,” explains La. Selin underscored the importance of policies that reduce air pollution noting that: “what we’re doing to the atmosphere has impacts and it’s important not to roll these back.”
Prof. Tali Sharot speaks with Darian Woods of NPR’s The Indicator from Planet Money about why members of Gen Z may be feeling financial dysmorphia. “In order to be happy and satisfied, we need to see ourself progressing,” says Sharot. “That is true on every level, whether it is intellectually or whether it's financially.”
Forbes reporter Michael Nietzel spotlights MIT’s Initiative for New Manufacturing (INM), “an institution-wide effort intended to promote and advance the future of U.S. manufacturing.” Nietzel notes that the INM is part of an effort to “rethink how MIT could help shape the future of manufacturing through workforce training, advanced technologies, and industry collaborations. It will focus on enhancing the future manufacturing capacity and sophistication of several major industries.”
Gizmodo reporter Isaac Schultz writes that MIT astronomers have uncovered the most distant galaxy ever detected, dubbed MoM-z14, using the James Webb Space Telescope. Schultz notes that MoM-z14 “isn’t just some dim smudge, either—it’s unexpectedly luminous, echoing a growing theme in JWST’s discoveries. MoM-z14 now joins a strange new class of young galaxies that shine far more brightly than anyone expected.”
Wall Street Journal reporter Dominique Mosbergen spotlights how Prof. James Collins and his lab have built their “own algorithms to trawl chemical databases, such as those of existing pharmaceutical drugs, for potential antibacterial compounds.” Collins’ His lab is “also experimenting with using generative AI to design completely new molecules that could kill bacteria,” writes Mosbergen.
MIT astronomers have found evidence that a massive asteroid impact billions of years ago “may have briefly amplified the moon's old, weak magnetic field, leaving behind a magnetic imprint still detectable in lunar rocks,” reports Sharmila Kuthunur for Space.com. “While the moon once had a weak magnetic field generated by a small molten core, the team's research suggests it likely wouldn't have been strong enough on its own to magnetize surface rocks,” Kuthunur explains. “However, a massive asteroid impact may have changed that — at least briefly.”
Ars Technica reporter Jennifer Oulette writes that MIT researchers have found that a “large asteroid impact briefly boosted the Moon's early weak magnetic field—and that this spike is what is recorded in some lunar samples.”