Research

Hamid Doosthosseini PhD ‘25, an MIT postdoc, speaks to Tech Brief’s Andrew Corselli about his team’s work engineering bacteria to act as transistors on “living circuit boards.” “Simply, each cell works somewhat like a traffic light at an intersection, it determines whether traffic (here a chemical signal) should continue or stop based on traffic in the intersecting road,” says Doosthosseini. “Printing a network of cells can therefore combine, compute, or direct signals.” 

MIT researchers have invented a digestible, bioresorbable battery that can deliver drugs directly to the GI tract, reports Smithsonian Magazine’s Sara Hashemi. Prof. Giovanni Traverso and his colleagues “made two versions of the battery of different sizes and voltages,” writes Hashemi. “Exposing them to an acidic liquid similar to gastric fluid revealed they would function normally in the stomach for about three days.” 

Prof. David Autor and his team of researchers found that junior patent attorneys who used AI for assistance showed no net improvement in their skills, reports Andy Mukherjee for Bloomberg. “When researchers subsequently tested everyone on an unassisted, offline task to gauge internalized judgment, the learning gains went entirely to senior lawyers,” writes Mukherjee. “Foundational expertise may be a prerequisite for extracting durable skill from AI-assisted practice,” the researchers noted.  

In The Wall Street Journal’s “Economics Newsletter,” reporter Greg Ip highlights a study by Prof. David Autor that found that AI did not significantly improve the performance of the 133 patent lawyers who participated. “Among junior lawyers, the performance of some got better, others got worse, and on average they were the same. Among senior lawyers, the lowest performers improved, the best didn’t,” writes Ip. “The conclusion: Lawyers don’t acquire durable new skills with AI.” 

The Economist highlights MIT researchers’ new “paper-based battery whose components are safely absorbed by the body,” to help deliver drugs to the GI tract more effectively. “The new battery is a stack of magnesium, gel and chemically active paper—all coated in wax to protect it from the harsh environment of the gut. It is also compact, taking up only about a quarter of the space inside a standard gelatine capsule, leaving plenty of room for the device it is to power, as well as other useful payloads, such as a drug.”  

MIT researchers have developed an ingestible battery that could be used to monitor drug delivery and avoid the need for surgery; a “milestone towards potential human use for health monitoring and treatments,” writes Michael Peel for the Financial Times. Improving the effectiveness of therapies “moves the technology beyond a materials demonstration toward an integrated biomedical system,” says Prof. Giovanni Traverso, senior author of the study.  

MIT researchers found that AI assisted work leads to the ‘diversity collapse’ of a brand’s voice, and users that rely on AI to do their thinking lose skills over time, highlights Forbes’ Michelle O'Connor. “Judgment, taste and the instinct to catch when something’s off isn’t a soft skill you can afford to lose,” writes O’Connor. “The MIT data is the first hard evidence of that.” 

Quanta Magazine’s Marlowe Starling highlights a 2014 study by MIT researchers that found that coral cilia “interact with the boundary layer by rapidly whipping about to generate swirls of fresh, oxygenated seawater.” The researchers “not only modeled the tiny vortices created by the cilia for the first time, but also revealed the cilia’s importance for survival and metabolism,” notes Starling. 

A recent study by MIT researchers found that AI chatbots easily generated misleading election-related answers, images and videos, writes Emily Condon for USA Today. “This, along with other findings from our study, suggests that in an ongoing election with little authoritative information for models to rely on, AI may not be as helpful in pushing back against unsubstantiated rumors and misinformation,” the researchers explain.  

A new report published in part by MIT FutureTech finds that AI does not significantly accelerate scientific research, writes Peter Hall for the Scientific American. “As the experiments become larger or more complex, so, too, do the models that simulate them, and the data to train those models is hard to come by,” Hall explains. “Robots handling real-world materials raise safety questions that are unknown to software.”  

A new paper co-authored by Prof. Anna Stansbury examines how socioeconomic differences can impact first-generation college students after graduation, writes Noam Scheiber for The New York Times. Stansbury and her colleagues found that having a parent with a graduate degree reflected a “generalized socioeconomic advantage.” Growing up affluent often “helps you learn how to read between the lines in certain situations, because you’ve been in similar kinds of situations,” Stansbury explains. 

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.” 

In his latest book, “Disposable Workers: The Transformation of Employment,” Prof. Emeritus Paul Osterman finds that 35% of the U.S. workforce is made up of disposable workers hired with the “implicit understanding that they won’t be around for long,” writes Fortune’s Nick Lichtenberg. Employers “do not invest in the great bulk of their workforce” in the way that they used to, says Osterman.  

MIT researchers found that users preferred to consult professionals over AI chatbots, except when they are feeling embarrassment or shame, writes Forbes’ Joe McKendrick. “When we seek advice from other people, we’re often reluctant to share embarrassing details because we have a fear of being judged,” the researchers write. “People are more likely to turn to AI models to get professional advice when they’re embarrassed, because the model doesn’t judge them.” 

MIT researchers have discovered that carefully timed bursts of ‘pink noise’ strengthened the flow of cerebrospinal fluid, which clear waste from the brain, during sleep, writes reporter Sarah Rahal for The Boston Globe. “It’s very important for us to test: Does this work in people who may be either much older or who may be showing signs of the beginnings of a neurological disorder,” says Prof. Laura Lewis.