MIT Lincoln Laboratory study explores a new approach to securing systems.

Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.

Professor Peter Fisher will lead effort to grow and enhance computing infrastructure and services for MIT’s research community.

A machine-learning model can identify the action in a video clip and label it, without the help of humans.

MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.

MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.

PhD student Paige Bollen finds urban street networks that encourage encounters among strangers link to lower ethnic tensions and anti-immigrant hostility.

A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.

MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.

An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.