Computer Science

Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink to spread through water.

Computer scientists this year learned how to transmit perfect secrets, why transformers seem so good at everything, and how to improve on decades-old algorithms (with a little help from AI).

Making sure our machines understand the intent behind our instructions is an important problem that requires understanding intelligence itself.

A quantum approach to data analysis that relies on the study of shapes will likely remain an example of a quantum advantage — albeit for increasingly unlikely scenarios.

Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math problem.

An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices, reaching the same accuracy as wasteful digital computers.

A team of physicists has entangled three photons over a considerable distance, which could lead to more powerful quantum cryptography.

Harry Halpin wants our internet conversations to be more private. He’s helped create a new kind of network that might make it possible.

Zero-knowledge proofs allow researchers to prove their knowledge without divulging the knowledge itself.