The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.

The bioderived “smart sutures” could help patients heal after bowel resection or other types of surgery.

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.

MIT engineers’ new technique analyzes the 3D organization of the genome at a resolution 100 times higher than before.

A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.

MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.

Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.