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 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 and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.

Caption:

Chris Rackauckas’ research is at the intersection of domain models with artificial intelligence techniques like machine learning.

Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.

MIT researchers developed a machine learning technique that learns to represent data in a way that captures concepts which are shared between visual and audio modalities. Their model can identify where certain action is taking place in a video and label it.

A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.