A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.

Robotic gripper with soft sensitive fingers developed at MIT CSAIL can handle cables with unprecedented dexterity.

Jonathan Zong wins third place for 2020 Harold and Arlene Schnitzer Prize in the Visual Arts

In a pair of papers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), two teams enable better sense and perception for soft robotic grippers.

CSAIL system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication

Mueller named 2020 Microsoft Research Faculty Fellow

SprayableTech system lets users create large-scale interactive surfaces with sensors and displays using airbrushed inks

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.