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.
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.
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.
MIT researchers developed a trajectory-planning system for autonomous vehicles that enables them to travel from a starting point to a target location even when there are many different uncertainties in the environment.
