School of Engineering

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.” 

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.” 

MIT researchers have engineered three strains of bacteria to function as living transistors, carrying signals across circuits, writes Gizmodo’s Gayoung Lee. “For instance, the circuit could sit near the roots of plants to detect different stresses or autonomously respond to the presence of pests or other environmental threats,” writes Lee.  

Prof. Robert Langer, cofounder of Moderna, speaks to The Boston Globe’s Marin Wolf and Jonathan Saltzman about the company’s successful results of a personalized messenger RNA vaccine in a late-stage trial to treat melanoma. “So far, the only proof is with melanoma, but it’s a stunning example of what can be done,” says Langer. “I don’t see any reason why it wouldn’t work with other types of cancer.” 

MIT researchers found the more data an AI model is trained on could complicate AI copyright, auditing, and governance, writes Computer World’s Taryn Plumb. “[S]ingle artworks by specific artists, or photographs of certain people, could be entirely removed from datasets, and the model could still reproduce that image or style,” writes Plumb. “Essentially, tangible connections are lost, and linking to specific data points responsible for generated samples is ‘practically impossible,’ or can even vanish, the researchers explained.” 

Prof. Danielle Wood speaks to the Scientific American’s Tom Metcalfe about how the current models of space travel, that have created trash and debris in Earth’s atmosphere and orbit, are unsustainable. “Sustainability in space means that we are able to leave to future generations something like the natural state of the Earth, the moon and the solar system,” says Wood.