In an effort to defend medical devices against quantum attacks, MIT researchers have engineered an ultra-efficient microchip that can protect wireless biomedical devices, such as insulin pumps and pacemakers, reports Katie Hunt for CNN. The microchip, which is around the size of an extremely fine needle tip, “includes built-in protection needed for post-quantum cybersecurity. The device achieved between 20 and 60 times higher energy efficiency than other post-quantum security techniques.”
In an article republished by Scientific American, Manon Bischoff delves into the history of Margaret Hamilton’s work at the MIT Instrumentation Lab, where she “was one of the people responsible for the features that ultimately made the moon landing possible.” Hamilton helped “program ‘emergency fixes,’ contingency procedures that were implemented when something unexpected happened during a mission.”
New research co-authored by Prof. Michiel Bakker examines the impact of using AI tools on an individual’s ability to solve a set of math problems, writes Jude Cramer for Fast Company. The researchers found that participants “who asked the AI for direct solutions saw the largest decline in solve rate and the largest increase in skip rate.”
Sybil, a new AI tool developed by researchers from MIT and Mass General Brigham Cancer Institute, “analyzes a single CT scan and generates a risk score predicting the likelihood of developing lung cancer over a period of up to six years,” reports Ivan Rodriguez for WCVB-TV. “In 2023, researchers reported that Sybil achieved an accuracy rate of 86% to 94% in distinguishing high-risk patients from low-risk patients within a year.”
Reporting for CNN, Caleb Hellerman spotlights how MIT computer scientists developed an AI program called Sybil that can “‘look’ at a single CT scan and generate a ‘risk score’ corresponding to the likelihood of the person developing cancer over any period up to six years.”
Fortune reporter Nick Lichtenberg highlights research by MIT economists that finds “automation doesn’t affect all parts of a job equally. The critical variable is whether the tasks being automated are the expert parts of a role or the administrative scaffolding around them.”
Prof. Sinan Aral joins CNBC’s “Squawk Box” to discuss the state of AI data center construction across the U.S. and the impact of new AI technologies on the power grid. “Data center and compute demand is so large and growing,” says Aral. He adds that hybrid models that “combine the benefit of connecting to the [power] grid with the benefit of an energy island model, where you have onsite storage of energy, you have battery and you have onsite generation to offload during peak times. The hybrid model is really good because it gets the best of both worlds.”
A new working paper by researchers from MIT FutureTech finds that “AI’s march through the labor market looks far less like a sudden catastrophe and far more like a slow, rising flood — serious and accelerating, but not the overnight apocalypse that has dominated headlines and executive anxiety for the past two years,” writes Nick Lichtenberg for Fortune. “Rather than arriving in crashing waves that transform a certain set of tasks at a time,” the researchers write, “progress typically resembles a rising tide, with widespread gains across many tasks simultaneously.”
According to the 2026 QS World University Rankings, MIT has been earned a No. 1 global ranking in 12 subject areas, including chemical engineering; chemistry; civil and structural engineering; computer science and information systems; data science and artificial intelligence; electrical and electronic engineering; engineering and technology; linguistics; materials science; mechanical, aeronautical, and manufacturing engineering; mathematics; and physics and astronomy, reports Michael T. Nietzel for Forbes.
Writing for Forbes, Senior Lecturer Guadalupe Hayes-Mota 08, SM '16, MBA '16 explores how businesses can best prepare for the rapid advancements underway in the field of neurotechnology. “I believe that one of the most important steps companies can take regarding this emerging technology is to act now, without waiting for regulatory clarity first,” writes Hayes-Mota. “Treat neural data as categorically sensitive from day one—not because you are forced to, but because you understand that operating this close to the human mind demands a higher threshold of trust than almost any technology before it.”
Writing for the Financial Times, Prof. Danielle Li examines the risks for highly skilled workers whose expertise is used as training data for AI systems. “As workers, people should think about how to use AI to expand their skills: whether by building complementary capabilities or by finding ways to scale their expertise through AI systems,” Li writes. “As citizens, they should press for policies that give workers clearer rights over the data generated by their work and compensation for it.”
Nature reporter Rachel Fieldhouse spotlights graduate student Lauren 'Ren' Ramlan’s work integrating the video game Doom into her research. Ramlan used “Escherichia coli bacteria to display a few frames of Doom,” explains Fieldhouse. “She attached a fluorescent protein to the bacterial cells that could be turned on or off, making them act like black and white pixels on a screen. She then translated and compressed the first few frames of Doom into black-and-white versions that matched the plate growing the cells. Ramlan says the project shows what living things can be engineered to do, and that bacteria are probably not suitable for computing or displaying images.”
Luana Lopes Lara '18 and Tarek Mansour '18, MNG '19, co-founders of prediction market firm Kalshi, have been named to the Forbes World’s Youngest Billionaires list, reports Simone Melvin for Forbes.
A new essay by Profs. Daron Acemoglu, David Autor and Simon Johnson, has offered “a more hopeful vision for the future of human work,” in a world infused with AI, reports Greg Rosalsky for NPR’s Planet Money. The authors “spend much of the essay providing a thought-provoking analysis of how new technologies can affect human jobs in general,” writes Rosalsky. “In short, it's complicated. Yes, often they do kill jobs. Other times they can make jobs less lucrative by, for example, making those jobs easier to do — or ‘de-skilling’ them — which means the supply of workers who can do these jobs goes up and wages for the occupation can go down.”
Researchers at MIT have developed an “AI-driven optimization method that works like ‘ChatGPT for spreadsheets’ – a tabular foundation model designed to handle spreadsheet-style data common in engineering design problems,” reports Gene Marks for Forbes. “The AI system identifies which design variables matter most and focuses search efforts on those, making problem solving less cumbersome,” writes Marks.