Faster computing results without fear of errors
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.
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.
Inaugural Day of AI brings new digital literacy to classrooms worldwide
Thousands of children participate in MIT-developed artificial intelligence curriculum.
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.
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.
Emery Brown wins a share of 2022 Gruber Neuroscience Prize
Brown and three other scientists recognized for advancing statistical, theoretical analyses of neuroscience data.
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.
Zero-trust architecture may hold the answer to cybersecurity insider threats
MIT Lincoln Laboratory study explores a new approach to securing systems.
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.
Approaching human cognition from many angles
Senior Keith Murray combines his interests in neuroscience, computation, and philosophy to better understand human behavior.