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.”
Ankur Gupta SM '14, PhD '17 has been named to the Chemical & Engineering News’ 2025 Talent 12 list, which highlights young scientists using chemistry to create real-world solutions, reports Sam Lemonick for Chemical & Engineering News. “By accounting for the way particles move in a chemical gradient—a phenomenon known as diffusiophoresis… [Gupta and his colleagues have] improved a model that mathematician Alan Turing developed to explain patterns in nature, such as the shape of a zebra’s stripes or the spacing of a jellyfish’s tentacles,” explains Lemonick.
MIT researchers have developed a new membrane that can separate different kinds of fuel by molecular size, which could replace the current energy-intensive crude oil distillation process. “Roughly 1 percent of global energy use goes into separating crude oil into gasoline, diesel, and heating oil,” writes Aamir Khollam for Interesting Engineering. This new membrane “excelled in lab tests…[and] effectively separated real industrial oil samples containing naphtha, kerosene, and diesel.”
Wall Street Journal reporter Angelina Torre spotlights “Letterlocking: The Hidden History of the Letter,” a new book by MIT Libraries Conservator Jana Dambrogio and King’s College London Senior Lecturer Daniel Smith that explores the history and art of “folding a letter so it serves as its own envelope.” The book “calls on scholars to ‘read the folds’ of written correspondence – to peer into the historical, social or personal circumstances that might not be explicitly stated,” explains Torre.
Lecturer Michael Schrage speaks with Forbes reporter Josipa Majic Predin about the shift towards generative AI in business. "AI should not be seen overwhelmingly as just an ethical or a technical or a digital innovation and platform," says Schrage. "It's actually a philosophical capability and resource."
Writing for The Boston Globe, graduate students Manuj Dhariwal SM '17 and Shruti Dhariwal SM '18 highlight new efforts to reframe the language used to describe the ways humans are interacting with AI technologies. “It is a subtle reframing, but one that we urgently need as AI systems become interwoven with our creative, social, and emotional worlds,” they write. “The point is not necessarily to choose one over the other — but to clearly distinguish one from the other.”
Prof. Daron Acemoglu speaks with WBUR On Point host Meghna Chakrabarti about the role of trust in institutions. “Institutions crucially depend on the trust that people place in them,” says Acemoglu. “Corruption is the tip of the spear, because once you start suspecting that people in high office are using their position for corrupt ends, it tarnishes the entire set of institutions. And I think that's the situation we're in, and we're getting deeper and deeper.”
Researchers from MIT and other institutions have uncovered new pathways, along with identifying genes, that may contribute to the development of a new class of drugs to treat Alzheimer’s disease, reports John R. Ellement for The Boston Globe. “The drugs currently approved to treat Alzheimer’s have not been as successful as hoped,” Ellement explains. “Those drugs tend to target amyloid plaques in the brain, but the new research suggests other areas to target.”
Postdoc Rohan Naidu and his colleagues have used the James Webb Space Telescope (JWST) to examine galaxy MoM-z14, first spotted in 2023, reports Jonathan O’Callaghan for New Scientist. “Naidu and his colleagues confirmed MoM-z14 is the most distant galaxy yet,” writes Naidu. “The light we see now was emitted just 280 million years after the big bang, breaking the previous record by about 10 million years.”
Writing for Financial Times, Prof. Emeritus Donald Sadoway makes the case that to meet the growing need for critical minerals, innovation is needed in metals extraction technology. “Imagine a process that produces superior metal at a lower price point than that of legacy technology and does so with zero emissions to air, water and to soil,” writes Sadoway. “Such technologies would recapture US domestic market share from foreign producers while meeting our pressing materials needs.”
Principal Research Scientist Kalyan Veeramachaneni speaks with WBUR On Point host Meghna Chakrabarti about the benefits and risks of training AI on synthetic data. “I think the AI that we have as of today and we are using is largely very small; I don't mean that as in size, but in the tasks that it can do,” says Veeramachaneni. “And as days go by, we are asking more and more of it… that requires us to provide more data, train more models that are much more efficient in reasoning, and can solve problems that we haven't thought of solving.”