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

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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.

Self-driving Roboats, developed at MIT, set sea in Amsterdam canals. If you don’t get seasick, an autonomous boat might be the right mode of transportation for you. 

The more efficient the algorithm, the less work the computer has to do. Behind the scenes a second trend is happening: algorithms are being improved, so in turn less computing power is needed.