In a video, Visiting Scholar Ariel Ekblaw speaks to NBC News about floating, magnetic tiles that could be used to build structures in space. “We could self-assemble these [tiles] on the Moon,” says Ekblaw. “We could make habitats for the Artemis program. Once we have this idea of modular space tiles, there’s so many different things that we can do with self-assembly.”
The Financial Times’ Anjana Ahuja highlights Prof. Sangeeta Bhatia and Senior Postdoctoral Associate Vardhman Kumar’s work developing injectable “mini livers,” tissue grafts that could “take on some of the life-saving functions of liver cells: helping with blood clotting, detoxifying the bloodstream and breaking down medicines. The injectable grafts, they suggest, could also be used as a bridging treatment while patients wait for a transplant, with booster injections able to dial up the dose,” writes Ahuja.
MIT researchers have created a microscope that can image electrical activity in neurons across the brain, writes Earth.com’s Eric Ralls. “We can now ask: Which neurons respond first?” says Zeguan Wang, first author on the study. “Where does a sequence begin, and how does activity spread to recruit the rest of the network?”
MIT researchers have discovered that peptides can remain stable and form into, reports Earth.com’s Eric Ralls. “First, we were astounded that peptides remain stable at all in concentrated sulfuric acid, for many weeks on end,” says Prof. Mei Hong, an author on the study. “Even more remarkable was that they adopt specific three-dimensional structures instead of random shapes.”
MIT researchers have discovered that peptides “not only survive in highly concentrated sulfuric acid but take on stable 3D conformations too,” writes Chemical & Engineering News’ Fionna Samuels. “The project started with a new collaboration between [Prof. Sara] Seager and the MIT chemist [Prof.] Mei Hong,” notes Samuels. “In the years since finding phosphine signals in Venusian clouds, Seager had been working her way through the building blocks of life—nucleic acids, amino acids, and lipids—to see if any survived concentrated acid exposure.”
MIT researchers have developed an AI-powered robotic therapy system that combines wearable force sensors and camera recordings of physical therapists’ movements to provide personalized therapy to patients, writes Newsweek’s Claudia Tanner. “Robotic assistance will allow patients to practice exercises more often while still receiving support tailored to their abilities,” says Johannes Lachner, who completed this work as a postdoctoral fellow at MIT. “Our goal is to take a step toward more accessible and personalized physical rehabilitation, giving more patients the opportunity to regain movement and independence.”
MIT researchers have developed a design tool to highlight the environmental factors that can reduce anxiety, homesickness and boredom during long-duration stays in space, writes Earth.com’s Luis Arrais. “Much like how in our homes the arrangement of our furniture, the size of our rooms, the people we live with, even the shelves we use to store our belongings all contribute to our sense of wellbeing,” says graduate student Mich Lin.
Writing for The Boston Globe, President Emeritus L. Rafael Reif describes the need to develop a universal “moral floor,” like the Ten Commandments, which provide clear guidelines for the use of AI. “Today, people are creating and developing intelligence that is much more capable, in narrow ways, than our own,” Reif explains. “We owe humanity the same discipline to civilize AI before it is too late: Write down what lines must never be crossed, make the list short enough to remember, and hold every actor building it, and using it, accountable for its actions.”
Prof. Regina Barzilay, graduate student Aziz Ayed and alumna Sydney Pham ‘24 are featured in an article about AI models and the workforce, written by Nature’s Ben Deighton. “Sometimes models can make sense of unexpected observations, which can guide further iterations of studies,” Pham says. “It’s helpful to understand how the models generate their results.”
Prof. Daniela Rus, Director of MIT CSAIL, and Prof. David Autor, department head of Economics, are featured on Time’s “TIME100 AI 2026” list of 100 innovators, leaders, and thinkers reshaping the world through their advances in AI. “Over three decades, [Rus] has conducted pioneering work in robotics, extending the understanding of what form robots can take,” writes Tharin Pillay, while Steven Freiss describes Autor as “one of the nation’s most vocal and prominent economists aiming to ascertain AI’s potential impacts on labor.”
Prof. Emeritus Rodney Brooks speaks to Scientific American’s Mary Randolph about humanoid robots interacting with the real world. “When you see a performance of an [artificial intelligence] system or a robot on one thing,” says Brooks, “that fools us into thinking that it has the same general competence as a human. And that’s a mistake people make.”
The Financial Times’ Anjana Ahuja spotlights research led by Prof. Dennis Whyte on the economics of fusion energy. “Economic Q, the metric devised by Whyte and others and which must exceed one to represent net economic gain, compares the capital gained over a fusion energy plant’s lifetime to that expended,” writes Ahuja. “Factors reflect the extreme engineering involved and include construction costs, component durability and the efficiency of converting fusion power into a commodity.”
A new study by MIT researchers found that it is impossible to draw a direct link between AI diffusion model outputs and an artist’s body of work, writes Gizmodo’s Webb Wright. “If a [diffusion] model generates something, you want to be able to say, ‘Oh, this part of the training data was responsible,'” says Zheng Dai, PhD ’24, lead author on the study. “It’s important for us to understand how these models work to properly study them or regulate them.”
Prof. David Gifford and Zheng Dai PhD ’24 discovered that AI diffusion models can replicate the style of an artist even when their work was omitted from datasets, leading to ‘attribution decay,’ writes Fast Company’s Jesus Diaz. “This trend, what the researchers call ‘attribution decay,’ means that artificial intelligence can produce an image that resembles a particular artist’s work, while having no provable causal link to that artist’s actual contribution to the training data,” explains Diaz.
Assil Halimi PhD ‘25 speaks to TechCrunch’s Tim De Chant about his company Apollo Atomics, which is shrinking the steam generator component of a reactor to streamline nuclear power. “We don’t want to be incremental in nuclear and just improve a small thing,” says Halimi. “Our target is to beat natural gas.”