The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.| MIT Schwarzman College of Computing
Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help you with a wide range of tasks. Whether you’re writing Shakespearean sonnets, debugging code, or need an answer to an obscure trivia question, artificial intelligence systems seem to have you covered. The source of […] The post Using generative AI to diversify virtual training grounds for robots appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Laurent Demanet, MIT professor of applied mathematics, has been appointed co-director of the MIT Center for Computational Science and Engineering (CCSE), effective Sept. 1. Demanet, who holds a joint appointment in the departments of Mathematics and Earth, Atmospheric and Planetary Sciences — where he previously served as director of the Earth Resources Laboratory — succeeds […] The post Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering appear...| MIT Schwarzman College of Computing
For Priya Donti, childhood trips to India were more than an opportunity to visit extended family. The biennial journeys activated in her a motivation that continues to shape her research and her teaching. Contrasting her family home in Massachusetts, Donti — now the Silverman Family Career Development Professor in the Department of Electrical Engineering and […] The post Fighting for the health of the planet with AI appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun’s core and push the plasma’s atoms to fuse and release energy. If tokamaks can operate safely and efficiently, the machines could one day provide clean and […] The post New prediction model could improve the reliability of fusion power plants appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight. Researchers at MIT’s Computer Science and Artificial […] The post AI maps how a new antibiotic targets gut bacteria appeared first on MIT Schwarzman College o...| MIT Schwarzman College of Computing
The post MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and batteries that minimize cost while maximizing the payload the drone can carry or the distance it can travel. Unraveling that conundrum is no easy task, but what happens if the designers don’t know the exact specifications of […] The post Accounting for uncertainty to help engineers design complex systems appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
Say a local concert venue wants to engage its community by giving social media followers an easy way to share and comment on new music from emerging artists. Rather than working within the constraints of existing social platforms, the venue might want to create its own social app with the functionality that would be best […] The post System lets people personalize online social spaces while staying connected with others appeared first on MIT Schwarzman College of Computing.| MIT Schwarzman College of Computing
In part 2 of our two-part series on generative artificial intelligence’s environmental impacts, MIT News explores some of the ways experts are working to reduce the technology’s carbon footprint. The energy demands of generative AI are expected to continue increasing dramatically over the next decade. For instance, an April 2025 report from the International Energy Agency predicts […] The post Responding to the climate impact of generative AI appeared first on MIT Schwarzman College o...| MIT Schwarzman College of Computing
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of […]| MIT Schwarzman College of Computing
The world is awash in data visualizations, from charts accompanying news stories on the economy to graphs tracking the weekly temperature to scatterplots showing relationships between baseball statistics. At their core, data visualizations convey information, and everyone consumes that information differently. One person might scan the axes, while another may focus on an outlying data […]| MIT Schwarzman College of Computing
Back in the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately predict where our solar system’s planets would appear in the sky as they orbit the sun. But it wasn’t until decades later, when Isaac Newton formulated the universal laws of gravitation, that the underlying […]| MIT Schwarzman College of Computing
Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience — unproductive vehicle idling could contribute as much as 15 percent of the carbon dioxide emissions from U.S. land transportation. A […]| MIT Schwarzman College of Computing
Scientists often seek new materials derived from polymers. Rather than starting a polymer search from scratch, they save time and money by blending existing polymers to achieve desired properties. But identifying the best blend is a thorny problem. Not only is there a practically limitless number of potential combinations, but polymers interact in complex ways, […]| MIT Schwarzman College of Computing
In an office at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls its fingers to grasp a small object. The intriguing part isn’t the mechanical design or embedded sensors — in fact, the hand contains none. Instead, the entire system relies on a single camera that watches the robot’s […]| MIT Schwarzman College of Computing
AI image generation — which relies on neural networks to create new images from a variety of inputs, including text prompts — is projected to become a billion-dollar industry by the end of this decade. Even with today’s technology, if you wanted to make a fanciful picture of, say, a friend planting a flag on […]| MIT Schwarzman College of Computing
Is Business Broken?: The High Stakes of the AI Economy| MIT Schwarzman College of Computing
When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much information it relies on to give that reply. Like other popular generative artificial intelligence (AI) models, these chatbots rely on backbone systems called foundation models that train on billions, or even trillions, of […]| MIT Schwarzman College of Computing
