MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

A new tool for predicting a person’s movement trajectory may help humans and robots work together in close proximity.

Fleet of “roboats” could collect garbage or self-assemble into floating structures in Amsterdam’s many canals.

Interactive tool lets users see and control how automated model searches work.

Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.

Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.

New program will focus on rapid deployment of artificial intelligence innovations in operations, disaster response, and medical readiness.

New method quickly detects instances when neural networks make mistakes they shouldn’t.

In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.

Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.