Research

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.

The new findings could explain biodiversity hotspots in tectonically quiet regions.

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

This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.