New model helps identify mutations that drive cancer
The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
MIT-Northpond Program created to advance innovation in engineering and life sciences
The five-year collaboration aims to accelerate the translation of breakthrough engineering and biology for human health.
Researchers discover a new hardware vulnerability in the Apple M1 chip
CSAIL scientists’ novel hardware attack against the Apple M1 chip defeats the last line of security while leaving no trace.
Keeping web-browsing data safe from hackers
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
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.
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.