Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.

Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.

Innovative MIT research focuses on developing systems to perceive and identify objects in their environment and understand social interactions in traffic.

GelSight technology lets robots gauge objects’ hardness and manipulate small tools.

A look at 16 of the coolest things that happened at the Computer Science and Artificial Intelligence Laboratory in 2016.

Machine-learning system doesn’t require costly hand-annotated data.

Given a still image, CSAIL deep-learning system generates videos that predict what will happen next in a scene.

Imaging scientist and inventor sets sights on launching peer-to-peer invention platforms for global impact.

Technique from Computer Science and Artificial Intelligence Lab could improve augmented reality and reduce the need for CGI green-screens.

Deep-learning vision system from the Computer Science and Artificial Intelligence Lab anticipates human interactions using videos of TV shows.