Caption:

An MIT-led team has built a new system that rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.

Caption:

Researchers created a computer vision system that combines two types of correspondences for accurate pose estimation across a wide range of scenarios to "see-through" scenes.

CSAIL scientists’ novel hardware attack against the Apple M1 chip defeats the last line of security while leaving no trace.

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.

Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.

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.

Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.

Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.

MIT researchers have created an integrated design pipeline that enables a user with no specialized knowledge to quickly craft a customized 3D-printable robotic hand.

Researchers demonstrated that medical AI systems can easily learn to recognize racial identity in medical images, and that this capability is extremely difficult to isolate or mitigate.