Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.

It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.

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.

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.

Citadel founder and CEO Ken Griffin visits MIT, discusses how technology will continue to transform trading and investing.

Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

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

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