MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.

The MIT senior will pursue postgraduate studies in computer science in Ireland.

A new computational model could explain differences in recognizing facial emotions.

Researchers propose a method for finding and fixing weaknesses in automated programming tools.

Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

Adding a module that mimics part of the brain can prevent common errors made by computer vision models.

Recent advances give theoretical insight into why deep learning networks are successful.

A global team of researchers searches for insights during a weeklong virtual “datathon.”

Music gesture artificial intelligence tool developed at the MIT-IBM Watson AI Lab uses body movements to isolate the sounds of individual instruments.

Ion-based technology may enable energy-efficient simulations of the brain’s learning process, for neural network AI systems.