Faster computing results without fear of errors
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Hallucinating to better text translation
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
Making data visualization more accessible for blind and low-vision individuals
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
In bias we trust?
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
Joel Moses, Institute Professor Emeritus and computer science trailblazer, dies at 80
Known as a visionary who brought together faculty from across MIT, Moses pioneered an influential symbolic mathematics program and held many top leadership posts.
Congressional seminar introduces MIT faculty to 30 Washington staffers
Security Studies Program offers knowledge on national security issues.
A helping hand for robotic manipulator design
With modular components and an easy-to-use 3D interface, this interactive design pipeline enables anyone to create their own customized robotic hand.
Artificial intelligence predicts patients’ race from their medical images
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Charting a safe course through a highly uncertain environment
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Can artificial intelligence overcome the challenges of the health care system?
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
Three from MIT elected to the National Academy of Sciences for 2022
Faculty members Angela Belcher, Pablo Jarillo-Herrero, and Ronitt Rubinfeld elected by peers for outstanding contributions to research.
Technique protects privacy when making online recommendations
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.
Q&A: Chris Rackauckas on the equations at the heart of practically everything
Have a question about numerical differential equations? Odds are this CSAIL research affiliate has already addressed it.
Unpacking black-box models
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
Artificial intelligence system learns concepts shared across video, audio, and text
A machine-learning model can identify the action in a video clip and label it, without the help of humans.