Computer Science

Fundamental technique lets researchers use a big, expensive “teacher” model to train a “student” model for less.

An attack on a fundamental proof technique reveals a glaring security issue for blockchains and other digital encryption schemes.

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.

The catch: It would require the energy of a few medium-size stars.

Reversible programs run backward as easily as they run forward, saving energy in theory. After decades of research, they may soon power AI.

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer science.

Researchers have devised a scheme for painting the edges of a graph that’s almost as speedy as possible.

AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.