Computer science and technology

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. 

Prof. Sara Beery speaks with Smithsonian Magazine reporter Mike Bock about the benefits of AI use in ecological research. “There’s an increasing need to build strong machine learning skills directly in the ecological community,” says Beery. “These students don’t need to be AI researchers. But they do need access to the skills to apply these techniques to their research problems.” 

Prof. Sherry Turkle speaks with Fortune reporter Jacqueline Munis about the risks of using generative AI to address human emotions, such as grief. 

Prof. Robert Langer, Prof. Giovanni Traverso and former postdoctoral fellow Thomas von Erlach founded Vivtex, a biotechnology startup that has “created a high-tech system called a ‘GI tract on a chip’ that uses robotics and AI to test how drugs move through the human digestive system,” reports Beth Treffeisen for Boston.com. “The technology allows Vivtex to quickly test thousands of drug formulations and predict how they will be absorbed in people, much more accurately than traditional lab methods.” 

Profs. Robert Langer, Giovanni Traverso and former postdoctoral fellow Thomas von Erlach have founded Vivtex, a biotechnology startup specializing in “oral alternatives to drugs administered by injections,” reports Jonathan Satlzman for The Boston Globe. Vivtex, now working in collaboration with Novo Nordisk, is looking to develop a new class of “pills to treat obesity and diabetes,” explains Saltzman. 

Kalshi and Común, two startups founded by MIT alumni, have been named to the 2026 Forbes Fintech 50 list. Kalshi is a prediction market that “had 1.2 million active users in 2025, and total trading volume hit $24 billion” while Común “offers digital banking geared toward Hispanic immigrants,” reports Jeff Kauflin for Forbes. 

“In Event of Moon Disaster,” a short deepfake film on display at the MIT Museum’s “AI: Mind the Gap” exhibit depicts an alternate reality where the Apollo 11 mission ended in disaster, reports Mark Feeney for The Boston Globe. The “unnervingly realistic deepfake” depicts President Richard Nixon addressing the nation regarding the failed mission. The film “manages to be both frightening, in showing how convincing deepfakes can be, and, however paradoxically, inspiring,” writes Feeney. 

Prof. Pat Pataranutaporn speaks with The Guardian reporter Andrew Gregory about the lack of safety warnings and disclaimers in AI overviews, specifically in AI-generated health materials. “The absence of disclaimers when users are initially served medical information creates several critical dangers,” says Pataranutaporn. “Disclaimers serve as a crucial intervention point. They disrupt this automatic trust and prompt users to engage more critically with the information they receive.”

Writing for The Atlantic, Prof. Deb Roy explores the impact of chatbots on language and learning development. “The ordinary forces that tether speech to consequence—social sanction, legal penalty, reputational loss—presuppose a continuous agent whose future can be made worse by what they say,” writes Roy. “With LLMs, there is no such locus. …When the speaker is an LLM, the human stakes that ordinarily anchor speech have nowhere to attach.”