A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.

Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.

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

Caption:

A new MIT study reveals that language processing programs can assign many kinds of information to a single word, just like the human brain.

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

A trio of researchers that includes William Kuszmaul — a computer science PhD student at MIT — has made a discovery that could lead to more efficient data storage and retrieval in computers.

A new machine-learning system helps robots understand and perform certain social interactions.

Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.

A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.