MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.

“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.

CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.

A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.

A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.

Theories from cognitive science and psychology could help humans learn to collaborate with robots faster and more effectively, scientists find.

Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.

A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.

Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.

A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.